Open to opportunities

Saksham Rajput

@sakshamrajput1

Message

Lead data scientist driving credit-risk models and portfolio profitability improvements.

India

Message

What I'm looking for

I seek roles where I can lead model development and deployment, collaborate cross-functionally, optimize portfolio outcomes, and deliver measurable business impact in a data-driven, growth-focused team.

I am a lead data scientist with hands-on experience building and deploying credit risk and predictive models that materially improve portfolio performance and profitability.

At Applied Data Finance I led model development and a team of data scientists, delivered Markov-chain simulations, Optuna-based optimizations, uplift modeling, SHAP analysis, and GenAI tooling to drive measurable business impact.

I focus on production-ready solutions, cross-functional collaboration, and cost-efficient data strategies—achieving large NPV uplifts, monthly data cost savings, and measurable increases in conversion and profit.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Scientist

Current

Applied Data Finance

May 2024 - Present (1 year 5 months)

Led a team of 3 data scientists to build and deploy credit risk models that improved unit-level NPV by up to 600 basis points and implemented credit decline rules, while delivering $15,000/month in data cost savings.

Python SQL XGBoost SHAP MLFlow Optuna AWS EC2 AWS S3 Risk Modeling

GenAI RAG Engineer

Personal Project

Mar 2024 - Apr 2024 (1 month)

Developed an end-to-end RAG web app using OpenAI LLMs, LangChain, FAISS, and Streamlit to perform semantic search and research across web articles while optimizing API cost via chunking and embeddings.

Lang Chain OpenAI Faiss Streamlit Python Embeddings Vector Search RAG

Senior Data Scientist

Applied Data Finance

May 2023 - Apr 2024 (11 months)

Designed a Markov chain simulation of customer flow with 95% accuracy and implemented Optuna-based optimization that increased projected profit for a new-loan segment by 25%.

Optuna Python Pandas NumPy Simulation Optimization

Data Scientist

Applied Data Finance

May 2022 - Apr 2023 (11 months)

Built predictive and uplift models to improve campaign targeting and credit monitoring, increasing respond-to-fund conversion by 85% and automating Tableau reporting to save 3 hours weekly.

Uplift Models Tableau Python SQL scikit learn Automation

Junior Data Scientist

Applied Data Finance

Jun 2021 - Apr 2022 (10 months)

Performed exploratory analysis and statistical process improvements that reduced manual reviews by 10% and supported early-stage model development to improve application flow and conversion.

Statistical Analysis Python SQL Process Improvement

Education

Degrees, certifications, and relevant coursework

IIT Indore

Bachelor of Technology, Engineering

2017 - 2021

Grade: CGPA: 8.1

Completed a Bachelor of Technology at IIT Indore with a CGPA of 8.1, focusing on engineering fundamentals and technical skills in programming and machine learning.