Development & IT Consultation with Anmol P.
Development & IT Consultation with Anmol P.
Get personalized advice on:
AI & Machine Learning
AI Integration
Blockchain, NFT & Cryptocurrency
Data Analysis & Reports
Database Development
ibkr
stock market
sports predictions
quant developer
algo trading
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About Anmol
Algorithmic Trading | Quant Developer | IBKR | Python | AI Automation
100%
Job Success
Mumbai, India - 3:18 am local time
We're a team of mathematicians, statisticians, algo-traders and full-stack developers at Insight Fusion Analytics. 100+ projects completed • 100% Job Success • Top Rated Plus
ALGO TRADING & QUANT SYSTEMS ───
This is where we started and it's still what we do best. We're statisticians first, no machine learning hoax. Every output can be verified in Excel.
Our USP is pattern recognition. Quick example: say you have a strategy — buy when RSI drops below 30, sell when RSI crosses above 70. Average profit per trade: -4%. Looks bad. But our tools will tell you: run that same strategy only in December, avg becomes +3%, and it covers 12% of all trades. Or between 1pm and 2pm when EMA is hugging, avg is +7% for 21% of trades. We test over a million combinations per strategy before suggesting patterns.
(sorry for bringing up pattern recognition again and again, we can't stop talking about it)
70+ trading bots • 60+ backtesting frameworks • 20+ live screener bots
We backtest equities, derivatives, and full portfolios. Live execution with kill switches on IBKR, Fyers, Zerodha, NinjaTrader, TradingView, QuantConnect. We've done HFT before but we'll be honest, there are better players than us on Upwork for that. Our USP is the math.
Markets: US equities, Indian equities and F&O, Forex, Crypto
DATA ANALYTICS & BI ───
We've done this across healthcare, insurance, real estate, e-commerce, and operations. Dashboards, automated reporting, competitor analysis, pricing studies, predictive models, data scraping, A/B testing, and research reports.
What most statisticians do? Explain their methods. Time series this, Markov chains that, custom probability distributions. What the client thinks? Just tell me what my pricing should be and how to manage my inventory. We skip the lecture and give you the answer. If you're curious about the method, happy to walk through it on a call.
Projects worth mentioning:
• Lightning detection efficiency analysis for Boltek and ISRO (Boltek's storm tracking systems are deployed by the US Army and Toronto's CN Tower)
• Sentiment analysis and review correlation for J Turner Research, the US multifamily industry's leading reputation analytics firm (148,000+ properties tracked)
• Booking calendar optimisation for ServiceMarket, Dubai's largest home services marketplace (acquired by Etisalat for $22M)
• Pricing and inventory analysis for Triton's Amazon launch
Tools: Python, SQL, R, Pandas, NumPy, Scikit-learn, Excel, BigQuery
AI AGENTS & AUTOMATION ───
We build AI agents that do actual work. Not chatbots that answer FAQs. Multi-step workflows where an agent ingests data, makes decisions, takes actions, and reports back. Document extraction pipelines that pull structured data from messy PDFs and emails. Trading signal processors that chain multiple APIs together and fire alerts in seconds. Review response systems that classify sentiment and route to the right person.
Every agent ships with error handling, logging, and a kill switch. We're data engineers who added AI to our stack, so the plumbing is solid.
Tools: PydanticAI, LangGraph, Claude API, n8n, Make, FastAPI, MCP
SPORTS & PREDICTION MARKETS ───
Our favourite. We spend serious time engineering mathematical features with domain experts. Every bit is explainable using formulas. The secret is in the features engineered, not the strategy.
All over Upwork we see ML models whose numbers can't be explained. ML applied from the start only raises irrational hopes and takes 6 months to a year before you realise the model isn't a fit. We believe good analysts produce a statistical model that works first, then layer ML on top if it actually improves things.
Prediction systems for UFC, soccer, cricket. Edge detection on Polymarket, Kalshi, and similar markets. Full pipeline from data to predictions to signals.
WORK WITH US ───
▸ 30-min consultation ($100) to see if it's a fit, reimbursed in full if we work together
▸ Share your project, we scope it in 24 hours
▸ AI automation audit ($350), we map what can be replaced
7 out of 7 paid consultations have turned into long-term projects. When both sides have skin in the game the conversation is just better.
Before reaching out, check out our past work. It helps us all figure out if we're aligned. We're not the cheapest option and we know it. We want you convinced before getting into a long contract. If it fits, let's talk.
Make us do the Math.
What to expect
Schedule the consultation
Choose from the freelancer’s available days and times.
Get advice for your custom needs
Share details about your project and what you want to talk about. The freelancer will review and reach out if they have questions.
Join the Zoom meeting
1-on-1 meeting with the freelancer to discuss your needs and project.
Approve the work
The freelancer will finish up the documents you asked for and send them to you for approval:
Before the consultation
Here’s what Anmol will need to know before you meet
- Tell me about yourself and what you want to talk about
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bebeho h.
May 26, 2026
Highly informative and knowledgeable.
Waiting for more opportunity to work together.
Waiting for more opportunity to work together.
MS
Michael S.
Apr 15, 2026
CG
Carl G.
Apr 14, 2026
Amnol and his team demonstrated strong problem-solving skills in analyzing my automated trading bot challenges. They outlined a clear path forward and executed it reliably and professionally. I’d confidently recommend them for similar technical work.
RM
Ravi M.
Feb 15, 2026
Knowledgable; Competent; Communicative; Great team to work with
JP
Jeff P.
Jul 21, 2025
bh
bebeho h.
May 26, 2026
30 minute consultation
Highly informative and knowledgeable.
Waiting for more opportunity to work together.
Waiting for more opportunity to work together.
AK
Ashmit K.
May 5, 2026
Pre open stock
Hired Anmol to build a Python collector for NSE pre-open call auction data, capturing the 9:00 to 9:07 AM window every morning. The depth he brought caught me off guard. He flagged on day one that the pre-open has a random closure between 9:07 and 9:08, so a hard 9:07:00 cutoff would silently miss the last batch of equilibrium ticks, and he built a handler around it before I'd even noticed the issue. He also pointed out that the field most retail APIs expose during pre-open is the running indicative equilibrium price, not the final auction print at 9:15, and both needed to be stored separately for the data to be useful downstream. Tool runs every morning without fail and we're on a recurring contract for the data feed. Recommend for anyone building NSE microstructure infrastructure where the small details decide if the data is usable at all.
TM
Taryn M.
Apr 30, 2026
Analysis and PowerPoint - football data
Worked with Anmol on a paid consultation for a FIFA player dataset project and the depth of his statistical knowledge was immediately clear. He picked up on the relative age effect angle within minutes of seeing the data and suggested framing it as a survival curve across age brackets instead of the standard birth month histogram that most people default to. That single insight changed how I’m structuring the entire presentation. He also caught nuances in the height-by-position data that I’d missed, flagging that attacking midfielders and wingers break the usual “taller is better” pattern. Two hours with him was worth more than weeks of figuring it out on my own. His team is clearly expert-level, not generalists. Highly recommend Anmol for anyone who wants sharp statistical thinking before committing to a full build.
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Bhawna S.
Apr 19, 2026
Consultation on Claude/Data analysis automation
MS
Michael S.
Apr 15, 2026
30 minute consultation