Kartikay Ahuja

Senior Data Analyst

Bengaluru 2+ yrs exp 74 · Very Good

About

No bio added yet

Skills & Expertise (19)

Python Advanced

8.0/10

Years Exp

Jupyter Notebook Advanced

8.0/10

Years Exp

Pandas Advanced

8.0/10

Years Exp

NumPy Advanced

8.0/10

Years Exp

scikit-learn Advanced

8.0/10

Years Exp

Feature Engineering Advanced

8.0/10

Years Exp

EDA Advanced

8.0/10

Years Exp

Statistical Modeling Advanced

8.0/10

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Machine Learning Advanced

8.0/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

Seaborn Intermediate

7.0/10

Years Exp

Matplotlib Intermediate

7.0/10

Years Exp

Data Visualization Intermediate

7.0/10

Years Exp

Git Intermediate

7.0/10

Years Exp

Excel Intermediate

7.0/10

Years Exp

TensorFlow Intermediate

6.0/10

Years Exp

Time Series Analysis Intermediate

6.0/10

Years Exp

NLP Intermediate

5.0/10

Years Exp

C++ Intermediate

5.0/10

Years Exp

Work Experience

Senior Data Analyst

Auronova Consulting

Aug 2024 - Present

Developed a Probability of Default (PD) model using logistic regression on 260K+ home-loan account-month records, enabling data-driven credit risk assessment. Performed end-to-end EDA and feature engineering: integrated behavioral, CASA, and delinquency data; applied binning, WOE, and IV analysis to engineer 30+ predictive features. Conducted rigorous feature selection using IV, VIF etc; maintained a 70/30 train-test split for unbiased evaluation. Validated model performance using GINI, KS, ROC-AUC, and MAPE; converted model output into a business-ready credit scorecard. Validated Corporate and SME credit rating models using 7,000+ customer records and 8 years of historical data (2018–2025). Built Python data pipelines to combine rating model outputs with historical performance data and create clean validation datasets. Developed a 12-month default target using Risk Rating and Days Past Due (DPD) information for model evaluation. Evaluated model performance using AUC-ROC, Gini, KS,and PSI to assess model accuracy, stability, and rating distribution.

Quantitative and Software Development Intern

Futures First

May 2024 - Jul 2024

Extracted and analyzed OHLC and volume data for 10+ financial instruments via REST APIs, enabling structured time-series datasets for quantitative research. Implemented 10+ technical indicators (RSI, MACD, Moving Averages, Bollinger Bands) in C# with parameterized inputs, supporting comparative signal analysis across instruments. Built a spread-calculation module generating synthetic multi-leg OHLC data across user-defined timeframes, supporting structured backtesting and strategy evaluation.