AJAY CHOUDHARY

Indian Institute of Management Ahmedabad

ajayc@iima.ac.in 8878883584 LinkedIn GitHub Website

PROFESSIONAL SUMMARY

Experienced data analyst and researcher with a strong background in computer science and engineering. Skilled in data analysis, machine learning, and financial modeling. Passionate about leveraging technology to solve complex business problems in various sectors.

EDUCATION

Degree Institution Specialization CPI/%
MS ( By Research) Indian Institute of Technology, Indore Computer Science & Engineering 8.32
B.E. Institute of Engineering & Technology, Indore Information Technology 70.83%
12th Jawahar Navodaya Vidhyalaya, Khargone PCM + CS 83.4%
10th Jawahar Navodaya Vidhyalaya, Khargone - 9.4

PROFESSIONAL EXPERIENCE

Economic and Financial Data Analyst | IIM Ahmedabad
Sept 2024 - Present
  • Lead data analysis for the "Ease of Doing Business in Indian States" project
  • Apply advanced data science techniques to extract insights from complex economic datasets
  • Collaborate with faculty to develop data-driven policy recommendations

Research Associate | Indian School of Business
Jun 2022 - Aug 2024
  • Analyzed financial datasets (Compustat, CRSP, Dealscan, IBES) to create variables for regression models
  • Conducted analysis on secondary loan market data, creating bank proxies and running regression models
  • Utilized fuzzy matching techniques to analyze large patent datasets to merge it with FEMA Disaster data
  • Assisted in summarizing academic papers and organizing research materials, improving research efficiency

Research Intern | Volvo Eicher Commercial Vehicle Limited
Aug 2021 - Jan 2022
  • Developed machine learning models to detect failures in commercial vehicle engines for the "up-time center business analytics" project
  • Improved predictive maintenance strategies, potentially reducing downtime and maintenance costs

Research Intern | IIT Jammu
April 2022 - May 2022
  • Led a team of four interns on a solar forecasting and uncertainty quantification project for the J&K region
  • Developed models to identify suitable locations in J&K region for establishing solar plants.

Application Development Associate | Accenture Solutions Private Limited
May 2017 - July 2018
  • Designed and maintained a Java-based employee management portal
  • Developed automated Python scripts for the SpatialNET tool, enhancing efficiency for an Australian client

TECHNICAL SKILLS

Programming: Python, R, Java, C++, SQL
Data Analysis: Pandas, NumPy, SciPy, STATA, SAS
Machine Learning: Scikit-learn, TensorFlow, PyTorch
Visualization: Matplotlib, Seaborn, Power BI


PROJECTS

Predictions in Non-stationary Data-Streams
MS Thesis - Fuzzy Clustering-based Adaptive Regression
  • Developed a novel approach for handling concept drift in data stream regression
  • Implemented the algorithm using Apache Spark for scalability
Image Denoising using Autoencoders
Deep Learning Project
  • Implemented various autoencoder architectures for image denoising
  • Achieved significant improvement in image quality metrics
GetMeIntern
Online Internship Portal
  • Developed a web application to connect students with internship opportunities
  • Implemented features such as user authentication, job posting, and application tracking

PUBLICATIONS

  1. Choudhary, A., Jha, P., Tiwari, A., & Bharill, N. (2021). A Brief Survey on Concept Drifted Datastream Regression. In Soft Computing for Problem Solving (pp. 635-644). Springer, Singapore.
  2. Choudhary, A., Jha, P., Tiwari, A., Bharill, N., & Ratnaparkhe, M. (2021). Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-6). IEEE.

CERTIFICATIONS & ACHIEVEMENTS

VOLUNTEERING & LEADERSHIP