Who I Am
About Me
My Journey
I am Saksham Tapadia, a Computer Science and Engineering undergraduate at JECRC University, Jaipur, with a CGPA of 9.00/10. My academic foundation spans Data Structures and Algorithms, Machine Learning, Database Management Systems, and Data Analytics, which I have consistently applied to real-world problems across multiple internships.
I specialise in building end-to-end machine learning pipelines, from raw data ingestion and feature engineering to model deployment and monitoring. I enjoy working at the intersection of data science and software engineering, where clean code meets measurable business impact. I am equally comfortable exploring a new dataset independently or collaborating within a fast-paced engineering team.
Key Achievements
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B.Tech CSE at JECRC University (CGPA: 9.00/10) with specialization in Data Science, ML, and Analytics. Built production models with 95%+ accuracy.
Software Developer
Proficient in Python, C++, SQL with frameworks like TensorFlow, PyTorch, and Flask. Experience with AWS, Git, and full-stack development pipelines.
Problem Solver
5-Star HackerRank in SQL and Problem Solving. SQL 50 badge on LeetCode. Strong analytical thinking and cross-functional collaboration skills.
What I've Built
Featured Projects
More Projects
QuantPulse
Production-grade fintech platform monitoring 15 stocks/ETFs. HMM + Transformer ensemble classifies market regimes with real-time alerts.
Movie Rating Prediction
ML-driven predictor using collaborative filtering and content-based features for accurate rating estimates.
Credit Card Fraud Detection
Real-time fraud detection with high precision-recall balance for financial transaction classification.
Customer Churn Prediction
Identifies at-risk customers using behavioral patterns and ensemble ML classification.
My Toolbox
Technical Skills
Certifications
Where I've Worked
My Journey
Experience
Thomson Reuters
Working on data analytics and intelligence projects, applying advanced analytical techniques to extract insights from large-scale structured and unstructured datasets.
- Analysing large-scale datasets to surface actionable insights for internal stakeholders
- Building automated data pipelines and reporting dashboards to streamline decision-making
- Collaborating cross-functionally with product and engineering teams on data quality initiatives
NuFinTech
Built data-driven trading intelligence models leveraging market microstructure and gamma exposure analytics to enhance predictive accuracy and strategy performance.
- Improved trade outcome prediction accuracy by ~30% through optimised ML pipelines
- Boosted model AUC significantly using semantically rich composite features
- Automated oscillator-based signal detection framework, achieving 5x faster feature extraction
- Collaborated with research leads to integrate structural and statistical indicators into production models
Celebal Technologies
Developed advanced ML models for spam email detection using NLP techniques, achieving exceptional accuracy and significantly reducing false positives.
- Developed Spam Email Detection model with 95%+ accuracy
- Reduced false positives by 80% using advanced NLP & ML techniques
- Collaborated in sprint reviews with senior mentors
- Built model evaluation, optimisation, and production-ready pipelines
Samatrix Consulting Pvt Ltd
Applied data cleaning, EDA, visualisation, and predictive modelling on multiple real-world datasets to derive actionable business insights.
- Performed EDA on Employee, Energy, and EPL Auction datasets to uncover key performance trends
- Developed regression models improving dataset insight accuracy by 30%
- Implemented automated data preprocessing pipelines using Pandas & NumPy
- Presented analytical findings to mentors, strengthening data-driven decision-making
Ozibook
Automated data analysis workflows and built efficient tools to streamline business operations while working with cross-functional teams.
- Automated workflows, reducing reporting time from 60 min to under 10 min
- Built Python-based receipt generator, reducing manual effort by 80%
- Coordinated with 15+ member cross-functional team
- Streamlined dashboards & workflows, accelerating delivery by 25%
Education
Computer Science and Engineering
JECRC University
CGPA 9.00/10Coursework: DSA, DBMS, Machine Learning, Operating Systems, Data Science, Data Analytics. Active in AWS Cloud Club, DevCrest, and Student Council.
Urmi School
80.2%Mayoor School
86.4%Recognition
Awards & Achievements
Secured 3rd position in a university-level innovation hackathon, competing against 100+ teams.
Achieved top 1.2% ranking among over 80,000 participants in Amazon's premier ML challenge.
Earned SQL 50 badge by solving 50 hand-picked SQL problems, demonstrating deep query expertise.
5-star rating in both SQL and Problem Solving, placing in the top tier on the platform.
Community Contributions
AWS Cloud Club
Active contributor and member across workshops, events, and cloud advocacy.
DevCrest
Community contributor across developer events, hackathon mentoring, and open-source.
Student Council
Elected member 2022-23, organising college events and student initiatives.
Say Hello
Get In Touch
Let's discuss data science opportunities, collaborations, or your next ML project.