Sandeep Sharma

CEO

Delhi, India3 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Master's in Applied Mathematics with strong analytical skills.
Proven track record in optimizing loan pricing and processes.
Expertise in AI/ML for impactful business solutions.

Stackforce AI infers this person is a Fintech Data Analyst with strong expertise in AI/ML and data-driven decision making.

Contact

Skills

Core Skills

Data AnalysisMachine LearningData VisualizationProcess Optimization

Other Skills

PythonSQLScikit-learnPandasNumpyTableauAI/MLPyTorchExcelMatplotlibSeabornTime seriesUnstructured DataStatistical ModelingPredictive Modeling

About

Graduating with a Master’s in Applied Mathematics from Delhi Technological University, I have applied my strong problem-solving skills and expertise in Python, SQL, and AI/ML to deliver impactful business solutions. At Loans24 by CARS24, I have contributed to optimizing loan pricing, streamlining processes, and driving efficiency through data-driven insights, achieving key improvements such as enhanced loan disbursal conversion and reduced turnaround times. My work focuses on leveraging data to enable informed decision-making and impactful business outcomes.

Experience

3 yrs 7 mos

Total Experience

1 yr 8 mos

Average Tenure

3 mos

Current Experience

Makemytrip

Gen AI Asst. Manager

Feb 2026 – Present · 3 mos · Gurugram, Haryana, India · On-site

Loans24 by cars24

Business Analyst

Mar 2025 – Feb 2026 · 11 mos · Gurugram, Haryana, India · On-site

Built a regression model for loan pricing, improving prediction accuracy within ±10% and optimizing loan-to-value decisions.
Conducted customer churn analysis on 5,000+ monthly loan records, enabling targeted recovery workflows and improving recovery by ~25%.
Designed and implemented a loan funnel dashboard with 20+ KPIs, enabling city, channel, and risk-band level insights.
Reduced inspection TAT by 85% (from 17 hrs → 2.5 hrs) through online valuation and market-trend pricing rollout.
Improved loan disbursal conversion by 18% by resolving delays in credit, risk, and banking processes.
Tools & Frameworks: Python, SQL, Scikit-learn, Pandas, Numpy, Tableau, AI/ML, PyTorch, Excel

PythonSQLScikit-learnPandasNumpyTableau+5

Cars24

Lead Data Analyst

Sep 2022 – Feb 2025 · 2 yrs 5 mos · Gurugram, Haryana, India · On-site

Forecasted vehicle demand across 7 regions using SQL and Python, enabling better procurement planning and reducing stock shortages.
Improved procurement efficiency by 15% through bid strategy analysis and channel conversion insights, reducing acquisition costs by 5%.
Applied ABC inventory analysis to control stock flow, cut stock-outs by 20%, and lowered excess inventory costs by 7% across 8,000 vehicles.
Optimized product pricing by aligning with market trends, reducing overpricing from 115% → 102% of market value and boosting conversions by 15%.
Enhanced sales funnel efficiency by analyzing drop-offs (listings → views → bookings), resulting in a 12% increase in overall sales.
Developed a classification model to predict car selling time (number of days until sold) using Random Forest, XGBoost, and Catboost , achieving up to 82% accuracy and providing insights for faster inventory turnover.
Tools & Frameworks: Python, SQL, Scikit-learn, Pandas, Numpy, Matplotlib, Seaborn, Time series, Excel

PythonSQLScikit-learnPandasNumpyMatplotlib+5