Hire the Best Data Scientists in Mumbai, IN

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Kshitij S.

Mumbai, India

$75/hr
5.0
35 jobs

Machine Learning Engineer specializing in quantitative finance with proven track record in algorithmic trading systems and financial forecasting. Ranked #1 out of 18,166 professional data scientists in a time series forecasting Kaggle competition. Former VP at Citi Bank with 7+ years building production ML systems. Most of all, I adore logical problem solving! I'm also a former competitive chess player (rated 2073 ECF) . Available for: ML model deployment, data pipeline architecture, Strategy development, backtesting systems, quantitative research, financial dashboards, data analytics. Core Expertise 📊 Quantitative Finance & Trading End-to-end algo trading pipelines: Strategy development → Backtesting → Live deployment Trading platforms: Interactive Brokers API, TradingView, QuantConnect, MetaTrader (MQL4/5), cTrader Risk modeling: Options pricing (Black-Scholes, Monte Carlo), volatility modeling (GVAR, GARCH) Market data engineering: Massive (Polygon) AWS S3, real-time feeds, historical data pipelines 🤖 Machine Learning & AI Time series forecasting: ARIMA, LSTM, GRU for financial markets ML algorithms: XGBoost, LightGBM, Random Forests, Neural Networks Deep learning: CNNs for pattern recognition, RNNs for sequence prediction Natural Language Processing: Sequence-to-Sequence Encoder-Decoder Transformer Models with Attention Feature engineering: Target encodings, geospatial analysis, text vectorization 💻 Technical Implementation Languages: Python, Scala, SQL, R, C++, Java, Spark ML/DL frameworks: PyTorch, TensorFlow, scikit-learn, JAX Data engineering: PostgreSQL, AWS S3, REST APIs, real-time streaming Deployment: FastAPI, Flask, Streamlit dashboards, Docker Notable Achievements Kaggle Competition Winner: 1st place (out of 18,166) in 1C Future Sales Prediction Live Trading Success: Deployed strategy which achieved 25% CAGR at a prop trading firm for 3 years Enterprise Scale: Built forecasting models for 60+ countries at Citi Bank Academic Excellence: MS Computer Science (ML) Georgia Tech (GPA 3.9), MS Quantitative Finance (GPA 3.7) Certifications: FRM Level 1, CFA Level 2 Recent Projects 1. Building Custome Backtesting Engine in Python, Strategies & Indicators in MT5, NT8, MQL 2. Volatility clustering using Dynamic Time Warping for casino game crash prediction 3. Options chain visualization & credit spread calculator with Polygon data feeds 4. Yield curve forecasting model (PCA-based) outperforming legacy systems 5. Neural machine translation using Transformers with attention mechanisms How I Work I focus on delivering robust, scalable solutions that solve real business problems. Whether you need a complete trading system, risk model optimization, or ML-powered financial analysis, I bring both academic rigor and practical experience to ensure successful outcomes. I am especially passionate about data engineering - building robust, scalable and efficient data architectures.

  • Machine Learning
  • Natural Language Processing
  • Artificial Intelligence
  • Data Analytics
  • Deep Learning
  • Statistical Analysis
  • Financial Risk
  • Financial Modeling
  • Portfolio Management
  • Investment Strategy
  • Econometrics
  • Economics
  • Quantitative Research
  • Trading Automation
  • Quantitative Analysis
  • TradingView
  • cTrader
  • Predictive Modeling
  • Data Modeling
  • Model Testing & Optimization
Ajeenkiya J.

Mumbai, India

$5/hr
5.0
2 jobs

🌟 Welcome to Innovation Central! 🚀 Who Am I? I'm your dynamic Python virtuoso, SQL sorcerer, and web wizard, ready to weave magic into your projects. With a track record of turning ideas into awe-inspiring solutions, I'm your partner in innovation. 💼 What Sets Me Apart? Python Powerhouse: From data analysis to machine learning, I wield Python like a maestro, utilizing libraries like NumPy, Pandas, and Matplotlib to orchestrate dazzling results. Data Whisperer: With SQL mastery, I harness the power of data to uncover insights and drive informed decision-making, leaving no byte unturned. Web Whisperer: Crafting captivating web experiences is my forte. With Flask and Streamlit, I transform visions into interactive reality, ensuring your online presence stands out. 🔑 Why Choose Me? Passion Personified: I live and breathe technology, and my passion fuels every project I undertake. Expect nothing less than boundless enthusiasm and unwavering dedication. Innovation Incarnate: Innovation is my middle name. I thrive on pushing boundaries, exploring new horizons, and delivering solutions that defy expectations. Results Guaranteed: Your success is my mission. With a commitment to excellence, I guarantee results that elevate your business and leave a lasting impact. 🚀 Let's Elevate Your Business! Whether you're looking to streamline processes, unlock insights, or revolutionize your online presence, I'm here to make it happen. Let's collaborate to unleash the full potential of your ideas and take your business to the next level. 📬 Ready to Ignite Innovation? Don't just dream it; let's build it together! Reach out today, and let's embark on a journey of innovation, transformation, and unparalleled success. 🌟 Client Raves (Consider including snippets of glowing testimonials from past clients to showcase your proven track record and stellar reputation.)

  • Machine Learning
  • Python
  • SQL
  • Python Numpy FastAI
Srishti G.

Mumbai, India

$45/hr
4.9
82 jobs

🔥 CFA Charterholder | Lead Data Scientist | Data + Finance + Automation + Teaching + Writing Powerhouse 🔥 7+ years PRO experience + 7+ years academic mastery in Finance, BFSI, and cutting-edge Analytics. Master's in Big Data Analytics (GPA 8.8/10). Daily driver of Python, PySpark, SQL, Databricks, AWS, EMR + Airflow. Clients hire me because I deliver THREE superpowers in ONE: 💼 Finance expert who reads numbers like a book ⚙️ Data scientist who builds bulletproof pipelines 👨‍🏫 Tutor who explains rocket science like bedtime stories 🚀 DATA & ANALYTICS MASTERY Python (pandas, NumPy, scikit-learn, Flask APIs, automation) R Programming (stats, modeling, survey analysis) PySpark on Databricks/EMR + Airflow pipelines Web scraping (BeautifulSoup, Selenium, Scrapy) API integrations & production pipelines (OHLCV, backfills, daily updaters) Text classification/NLP + ML (classification, regression, ensembles) SPSS, SAS, MATLAB, Minitab, EViews, JASP + stats software Dashboards: Power BI, Tableau, Looker Studio (DAX, interactive reports) 💰 FINANCE & MODELING EXPERTISE Financial modeling (P&L, cashflow, balance sheets, franchise economics) CFA concepts (equity, fixed income, derivatives, portfolio mgmt) Risk/credit analytics, MIS, budget variance analysis Excel mastery (automation, complex models via Python) 🎓 TEACHING & RESEARCH SUPPORT CFA tutoring (Levels I-III) Data analytics (Python/R/SQL/stats) + visualization training Quant prep: CAT/GMAT/SAT/ACT Academic writing: survey analysis, results papers, technical reports AI/ML/DL paper editing (technical accuracy + clarity) 🛠 AUTOMATION & SPECIALIZED SKILLS Survivorship-bias-aware data pipelines Image annotation (Labelbox, CVAT) oversight LLM-assisted workflows (code/docs/Excel logic) ⭐ WHAT CLIENTS RAVE ABOUT ⭐ "Phenomenal talent… incredibly fast… will definitely work with Srishti again!" "Quick understanding + reactivity… thank you Srishti!" "High attention to detail + regular communication = high quality" "Exceptionally competent R programmer who exceeds expectations" "Hit ALL milestones on time with excellent work" Fast. Thorough. Reliable. Results-driven. Got a project where finance + data + clear communication = success? Let's talk! 📈✨

  • Data Science
  • Data Analysis
  • Machine Learning
  • Python
  • R
  • Statistics
  • SAS
  • Microsoft Excel
  • RStudio
  • Data Visualization
  • Tableau
  • SQL
  • Financial Model
  • Analytics
  • PySpark
Akhil P.

Mumbai, India

$40/hr
5.0
12 jobs

I Build Voice-AI Systems That Actually Run in Production - (inc call branding) I design and deploy real-time voice AI and LLM systems that handle live customer conversations, automate phone workflows, and connect directly into enterprise systems — at scale, with low latency, and without black-box dependencies. This is not demos. These are production systems running today. What I Build (Concrete Outcomes) Voice AI Agents That Handle Calls End-to-End Answer inbound phone calls Qualify leads in real time Route, schedule, escalate, or resolve Trigger downstream systems automatically (CRM, billing, ops) Built for sub-second latency, natural turn-taking, and reliable audio. Real-Time Conversational Systems (Voice + Text) Live transcription and streaming responses Contextual memory across turns Session-safe, tenant-isolated conversations Voice and chat ingress/egress using the same intelligence layer LLM-Driven Reasoning with Real Data LangChain-based orchestration RAG pipelines with Pinecone / Weaviate Tool calling into internal APIs Deterministic guardrails and structured outputs LLMs are used as reasoning engines, not toys. Telephony and Streaming Infrastructure You Control Twilio, Telnyx, SIP LiveKit (self-hosted or cloud) WebRTC media pipelines PSTN ↔ WebRTC bridging Full ownership of data, audio, and logs No vendor lock-in. No mystery routing. Workflow Automation That Actually Connects n8n pipelines triggered directly from calls LangChain + MCP integrations Data ingestion, enrichment, and action in real time Voice → tools → systems → voice loop Your phone system becomes an execution engine. Why Clients Hire Me (Reality, Not Promises) Sub-second audio latency under real load Stable voice streaming at hundreds of concurrent calls Production-grade architecture, not notebooks Self-hosted, auditable, secure deployments Clear separation of media, AI, and control planes Systems designed to scale from day one I don’t experiment on production traffic. Live Systems Running Today These are not concepts — they have users right now. OneClickDeploy LiveKitHelp VoiceAIPulse Technical Depth (What This Is Actually Built On) Real-time media: LiveKit, WebRTC, SIP, RTP Telephony: Twilio, Telnyx AI orchestration: LangChain, Pipecat, MCP LLMs: OpenAI, Claude RAG: Pinecone, Weaviate Backends: Python, FastAPI, Node.js Infra: Docker, Kubernetes, Redis Automation: n8n Performance: GPU deployments (CUDA, TensorRT) I understand the entire stack — from audio packets to LLM reasoning to CI/CD. Positioning (Clear and Honest) If you need: A demo → not a fit A chatbot → not a fit A “maybe it scales” system → not a fit If you need: 500+ concurrent calls Deterministic behavior call branding so it doesn't get filtered as "spam" Low-latency voice Full infra ownership Clean scaling and failure isolation That’s exactly what I build.

  • Data Analytics & Visualization Software
  • Data Analysis
  • Data Mining
  • Machine Learning
  • Machine Learning Algorithm
  • Artificial Intelligence
  • Artificial Neural Network
  • Data Engineering
  • Data Warehousing & ETL Software
  • PyTorch
  • TensorFlow
  • Statistical Analysis
  • Twilio API
  • WebRTC
  • Websockets
Shivam S.

Mumbai, India

$15/hr
5.0
4 jobs

I build production-grade GenAI systems — not demos, not scripted chatbots. For the last 3+ years, I’ve worked on customer-facing AI agents where response quality, latency, and hallucination control directly impact trust, revenue, and compliance. My focus is on LLM-powered systems that actually work in real business environments. What I specialize in - LLM applications using OpenAI / Anthropic - RAG pipelines (PDFs, databases, knowledge bases) - Conversational AI with memory (short-term + long-term) - WhatsApp / web chat AI agents - Prompt engineering for natural, non-robotic responses - Hallucination reduction, guardrails, fallback handling - API-based, scalable, monitored deployments How my work is different I don’t build “ChatGPT wrappers.” I design systems that: - Maintain context across long conversations - Adapt tone and intent like a human agent - Retrieve the right information at the right time - Fail safely when confidence is low - Are deployable, observable, and maintainable If an AI sounds like AI, it fails — and I design with that standard. Relevant experience - Built and maintained live AI pipelines used by real users - Designed conversational agents with persistent memory - Integrated LLMs with external APIs and business logic - Worked on systems where incorrect answers had real costs Typical projects I help with - “ChatGPT over my data” done properly - Improving RAG accuracy and relevance - Adding memory and intent tracking to chatbots - WhatsApp AI assistants for customer support or sales - Debugging hallucinations and response quality issues - Architecture review before scaling to users Tech stack (typical) - Python, FastAPI, OpenAI, Anthropic, vector databases, structured memory layers, event-driven systems, WhatsApp Cloud API / Twilio. If you’re looking for quick hacks or cheap demos, I’m probably not the right fit. If you want a reliable GenAI system that users trust, I can help. Happy to share demos or walk through architecture privately. — Shivam Sekra

  • Machine Learning
  • Python
  • Artificial Intelligence
  • Generative AI
  • AI App Development
  • AI Model Integration
  • AI Bot
  • Full-Stack Development
  • Amazon Web Services
  • Figma
  • Product Design
  • Front-End Development
  • LangChain
  • PyTorch
  • Large Language Model
Meet V.

Mumbai, India

$35/hr
5.0
8 jobs

Are you sitting on mountains of data but struggling to turn it into automated decisions, reduced risks, or higher revenue? I am a Lead Data Scientist and AI Strategist with over a decade of experience transforming raw, fragmented data into bottom-line ROI. Having served as a Deputy Vice President of Analytics, I don't just write code—I design end-to-end data ecosystems and predictive engines that solve complex business problems across multiple industries. My Core Capabilities & Past Projects: 1. Predictive Risk & Credit Modeling: Built underwriting, delinquency, and NPA recovery models to optimize lending portfolios. 2. Anti-Fraud Systems: Developed real-time fraud detection and collusion-detection algorithms to protect platforms, significantly reducing financial losses and improving trust. 3. Enterprise Data Lakehouse Implementation: Designed cloud-native Medallion architectures (Bronze, Silver, Gold), consolidating siloed systems (LOS, LMS, Collections) into automated, scalable pipelines. 4. AI & Deep Learning Automation: Implemented Enterprise GenAI, LLM integration, and deep learning for text/image analysis to automate manual workflows and enhance conversational AI. 5. Campaign Optimization: Built propensity models and recommendation engines to target high-value customers, maximizing marketing ROI and boosting conversion rates. End-to-End BI & 6.Dashboards: Connected complex databases into clean, automated Tableau and Power BI dashboards with strict row-level security for real-time KPI monitoring. Industries & Domains I Specialize In: 1. Banking, Finance & Insurance (BFSI): Credit risk, loan origination, collections, and wealth management. 2. Tech-Based Gaming: User behavior modeling, anti-fraud systems, and financial operations. 3. Retail & E-commerce: Demand forecasting, supply chain optimization, and personalized customer recommendations. 4. Healthcare: Patient outcome prediction, resource optimization, and personalized treatment plans. 5. Vacation Rentals: Pricing strategies, occupancy optimization, and property performance analytics. 6. Construction & Real Estate: Project tracking, sales analytics, and inventory visibility. My Tech Stack: Python, R, SQL, SAS, Tableau, Power BI, Machine Learning (XGBoost, RF, Time Series), Deep Learning (NLP, OCR, LLMs), and Cloud Platforms (AWS, Azure, GCP). Why work with me? I bring a rare mix of deep technical execution and high-level business strategy. I understand stakeholder management, translate complex AI concepts into plain English, and deliver enterprise-scale solutions ready for production. Send me a message, and let's discuss how we can leverage your data to scale your business.

  • Data Science
  • Algorithm Development
  • Data Analysis
  • Machine Learning
  • Analytics
  • Analytics Dashboard
  • Automation
  • Strategy
  • Artificial Intelligence
  • Statistical Analysis
  • Machine Learning Model
  • Data Extraction
  • ETL
  • Generative AI
  • Large Language Model

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