Senior ML/AI Engineer (ex–Senior Data Scientist) specializing in LLM/agent systems (GenAI) and production ML—from data pipelines → modeling → APIs → monitoring/evaluation. I’m a clear communicator and work in milestones, so you always know what’s shipping next and why. Proof of impact (examples) • ~25% ROAS increase via MMM + constrained budget optimization • D7/D30 retention +8–10% via AI/deep learning churn & disengagement modeling • ~15% reduction in average payback period via deep learning audience/value models (embeddings, look-alikes, propensity/LTV) • Up to +50% coins spent via contextual multi-armed bandits (personalized decisioning) LLM / Agent Systems I’ve shipped • Built agentic ghostwriting + restyling workflows for LinkedIn advocacy/influencer-style posting: the system learns an advocate’s voice, restyles drafts to match, generates new posts, and supports review/iteration—significantly improving throughput and consistency while helping teams meet/exceed posting quotas. • I can build tool-using agents and automation pipelines (structured outputs, guardrails), plus RAG assistants over internal docs/CRM/helpdesk with citations, logging, and quality checks. Core ML strengths (beyond LLMs) • NLP + deep learning (PyTorch/TensorFlow): embeddings, classifiers, ranking/propensity, churn/LTV • Predictive modeling and feature engineering at scale • Optimization (budget allocation, constrained optimization) • Causal/experiment-informed iteration (A/B testing, incrementality mindset) • Reinforcement learning / contextual bandits for personalization Stack Python, SQL, Scala • FastAPI • AWS • Spark/Databricks • Airflow • Snowflake • Redis/Cloudflare • PyTorch/TensorFlow • scikit-learn To start: send your objective, KPI definition, data sources/access, deadline, and must-have vs nice-to-have. I’ll reply with a milestone plan and the fastest path to results.

If you are looking to drive growth and maximise efficiency, I offer a proven track record of delivering significant ROI on marketing investments. As a seasoned leader, I step in to optimise small or multi-million-pound budgets and align your paid media, SEO, and data analytics into a holistic powerhouse. I focus on transforming your marketing operations, from building high-performing teams to deploying innovative media strategies and ensuring that every action drives measurable business outcomes for your company.

Responsible for developing aspects of data mining, predictive analytic, machine learning solution development for various business verticals such as Financial, Banking, Ecommerce and Customer Experience. Previous experience includes 12 years of text analytics and 5 years of Data Analytics/Machine Learning/Artificial Intelligence/Generative AI different domains.

Seasoned Data Scientist with over 8 years of experience across banking, healthcare, retail, and digital marketing. I specialize in crafting comprehensive ML pipelines, ETL integrations, and automated KPI-driven analyses that deliver actionable insights and measurable business impact. I’m adept at developing innovative, data-driven solutions—ranging from AutoML libraries and advanced forecasting models to cutting-edge generative and agentic AI applications. Key Highlights: • Innovative ML Solutions: Led the development of an AutoML Python library at Organon Analytics, automating complex data processes and boosting operational efficiency. • Marketing Optimization: Implemented Meta's Robyn MMM tool at Analytica House, optimizing advertising budgets and driving a 20% revenue increase. • Predictive Modeling: Engineered predictive models for default probability at Vakifbank using a blend of explainable models and advanced ML/DL techniques. • CRM & Automation: Designed and automated CRM analyses, including RFM, CLTV, churn, and purchase propensity models, complemented by dynamic dashboards for real-time analytics. • Generative & Agentic AI: Proven expertise in integrating Large Language Models (LLMs) and developing agentic AI systems using tools like OpenAI API, Ollama, Llama3, Langchain, LangGraph, and CrewAI to enhance business decision-making and automation. Technical Proficiencies: • Data Visualization & Prototyping: Plotly, Dash, Matplotlib, Streamlit, FastAPI • Techniques: Hypothesis Testing, Recommendation Engines, Time Series Forecasting, Deep Learning, Text Mining, Generative AI, LLM Integration • Tools: Python (Keras, Scikit-learn, PyTorch, Pandas, NumPy), SQL (MySQL, MSSQL, Oracle, BigQuery) By leveraging state-of-the-art technologies and a deep understanding of analytics, I help businesses transform raw data into strategic assets—driving growth, optimizing performance, and achieving sustainable profitability.

I help companies turn data into tangible business value – from data integration and process automation, to omnichannel analytics, campaign measurement, predictive modeling, marketing optimization, and churn/retention analysis. I offer B2B collaboration in the following areas: 1. Data Engineering – designing and developing data pipelines (BigQuery, Dataform, Airflow, CI/CD) and process automation in Google Cloud (Cloud Run, serverless workflows, automated analytics and communication). 2. Data Analytics & Visualization – reporting and dashboard development in Power BI, Looker, and Tableau; online and offline data analysis. 3. Digital & Web Analytics – implementation and auditing of analytics platforms: - GA4 / 360, Firebase, Adjust, Appsflyer - mobile app and website analytics - user behavior analysis (funnels, retention, attribution) - omnichannel / cross-channel measurement 4. Predictive Analytics & ML – predictive models, customer segmentation, churn and retention analysis, business decision automation (BigQuery ML, Python ML). 5. Attribution & Campaign Effectiveness – advanced attribution and performance measurement models: - last-click vs. data-driven attribution - multi-touch attribution (MTA) - Marketing Mix Modeling (MMM) 6. Tagging & Tracking – configuration and auditing of measurement setups: - GTM 360 (including Server-Side) - GA4 Measurement Protocol - server-side tracking and first-party data strategy - Consent Mode and CMP (OneTrust, CookieBot, CookieYes) - Campaign Manager 360 (Floodlight), DV360, Google Ads, Meta Ads - tracking pixels, event tracking, and marketing system integrations 7. Optimization & Experimentation – A/B testing, UX analysis, and channel/campaign performance optimization. 8. Privacy & Data Governance – privacy-first analytics (GDPR, ePrivacy), data governance, and data quality management. Skills: SQL (PostgreSQL / Oracle / DBeaver / MS SQL Server), Python, PySpark, BigQuery, GA4/360, Firebase, Adjust, Power BI, Looker, Tableau, GTM 360 (Server-Side), Tealium, CMP tools (OneTrust, CookieBot, CookieYes), Campaign Manager 360, DV360, Google Ads, Hotjar, Clarity, A/B testing, Google Cloud Run, Excel, web technologies (JavaScript, HTML, CSS), mobile technologies (Kotlin, Swift). Let’s collaborate – together we will turn data into real business results.

I am a marketing and brand professional with five years of experience in driving engagement, growth, and brand development. I excel in creating impactful campaigns and crafting compelling content that boosts reach, retention, and revenue. My strong eye for design complements my expertise in copywriting and digital marketing, allowing me to produce visual assets that resonate with audiences. I have successfully led projects end-to-end, enhancing customer experiences and building communities that foster brand loyalty. Whether working as a Customer Experience Coordinator or as a self-employed web designer, I am adept at turning ideas into actionable strategies. If you're looking for a versatile professional who understands the nuances of brand strategy and customer engagement, let's connect and discuss how I can contribute to your project.

I specialize in building and optimizing the systems that power modern B2B marketing. With 15+ years in demand generation and growth marketing, my focus has evolved beyond campaigns into the technology, data, and infrastructure that drive pipeline and revenue at scale. I’ve led the implementation, integration, and optimization of ABM platforms, intent data solutions, CRMs, and marketing automation systems—turning fragmented tools into cohesive, high-performing growth engines. My core expertise is in launching and managing ABM and intent-driven ecosystems. I’ve worked extensively with platforms such as ZoomInfo, Demandbase, Bombora, and Gartner Buyer Discovery to identify in-market accounts, activate buying signals, and orchestrate targeted, multi-channel engagement strategies. I don’t just implement these tools—I ensure they are properly integrated, aligned to business objectives, and actually used to drive measurable pipeline impact. On the systems side, I’ve helped onboard and optimize platforms including Microsoft Dynamics 365 (D365), Salesforce, HubSpot, Marketo, and Pardot. My work focuses heavily on data architecture, segmentation strategy, and workflow design, ensuring that marketing and sales teams are operating from a clean, scalable, and actionable foundation. A major area of specialization is building and refining lead lifecycle frameworks and scoring models. I design systems that prioritize the right accounts and contacts, route leads effectively, and trigger the appropriate level of engagement at the right time. This includes aligning marketing automation with CRM processes to ensure consistency from first touch through opportunity creation. Where most organizations struggle is not with tools—but with how those tools connect. I frequently step into environments where there are gaps such as: Disconnected platforms and workflows Poor data quality and segmentation Ineffective or unclear lead scoring models Limited visibility into performance and attribution I solve these by creating integrated, scalable systems that improve data integrity, streamline operations, and align marketing and sales around shared revenue goals. I also bring a strong performance and analytics mindset. My experience includes building reporting frameworks, refining attribution approaches, and conducting deep funnel analysis to identify inefficiencies and growth opportunities. I focus on ensuring that every system and campaign is measurable and tied back to business outcomes—not just activity. More recently, I’ve been integrating AI into marketing systems and workflows to improve speed, scale, and effectiveness. This includes using AI to accelerate campaign development, enhance segmentation, support content creation, and automate repetitive processes. My approach is practical and results-driven—leveraging AI where it creates meaningful impact. At a high level, I help organizations: Implement and optimize ABM and intent data platforms Design and improve CRM and marketing automation systems Build scalable lead scoring and lifecycle frameworks Connect marketing technology to pipeline and revenue outcomes Identify and fix inefficiencies across the funnel If your marketing stack feels fragmented, underutilized, or disconnected from results, I can help turn it into a system that consistently drives growth.

With a proven track record in market research, business strategy, and competitor analysis, I excel in driving product success through innovative solutions. My experience at the Indian Institute of Technology Kharagpur has equipped me with deep technical knowledge and a passion for tackling real-world problems. I have successfully led and contributed to projects that blend creative problem-solving with strategic insight, ensuring products meet market needs and exceed user expectations. As a skilled communicator and effective collaborator, I thrive in diverse team settings, guiding cross-functional teams to achieve shared goals. My experience with Geoserve, Lively, Boloforms, and GVKS has given me a deep understanding of effective market research and its significance. I have also collaborated on research projects with LEK Consulting. I am committed to delivering high-quality work and am excited about the opportunity to contribute to your team.

I specialize in credit risk and portfolio management, bringing over 11 years of experience in analytics and data-driven decision-making. My recent role as a Manager in Credit Risk has equipped me with the tools to mitigate risks and enhance portfolio performance effectively. Previously, I honed my skills as a Senior Data Scientist in Risk Analytics, where I developed models crucial for informed financial strategies. I excel in transforming complex data into actionable insights, ensuring that businesses make strategic, informed decisions. My strong analytical background, combined with a collaborative approach, allows me to lead teams toward achieving project goals efficiently. If you're looking for a results-oriented professional who can elevate your risk management processes, let's discuss how I can contribute to your success.

I combine Data Science, Econometrics, CAD engineering, and 400+ e-commerce stores — a profile combination that does not exist anywhere else on Upwork. WHAT I DELIVER: - Python and R for machine learning, time series forecasting, and econometric modeling (ARIMA, panel data, SHAP, XGBoost) - Power BI and Looker Studio dashboards that turn raw data into executive decisions - SolidWorks and Rhino 7 for industrial product design and 3D modeling - Shopify and WooCommerce automation — I have built and managed 400+ digital stores THE DIFFERENCE: Most freelancers specialize in one discipline. I connect the dots between data intelligence and real-world application — whether that is a demand forecast that reduces inventory costs, a churn model that saves customers, or a CAD design ready for manufacturing. KEY RESULTS: - 0.91 AUC-ROC on customer churn prediction model - 6.3% MAPE on demand forecasting — production-grade accuracy - 80% time reduction in data pipeline processing - 400+ e-commerce stores built and optimized Available for hourly and project-based work. LATAM timezone (UTC-5). English and Spanish. Let's build something that works.