Sandeep Jala

734-***-**** ad3rlq@r.postjobfree.com www.linkedin.com/in/jala-sandeep

EDUCATION

University of Michigan, Ann Arbor, MI April 2025

Master of Data Science GPA: 4

Relevant courses: Applied ML, Statistics Regression, DBMS, Data Manipulation and Analysis, Multivariate Analysis Dwarkadas J. Sanghvi College of Engineering, University of Mumbai, Mumbai, India May 2023 Bachelor of Technology in Electronics and Telecommunication Engineering GPA: 3.91 Relevant courses: Artificial Intelligence, OS, DSA, Object Oriented Programming, Image Processing, Computer Network. AIML Specialization, IBM May 2023

Courses: AI&ML, Applied Statistics, Deep Learning, NLP, Anomaly detection, and application of ML in Industries. PROFESSIONAL EXPERIENCE

Data Scientist-Intern, IBM, Bangalore, India July 2022 – Sept. 2022

• Enhanced the "Expense Management System" project by integrating advanced SQL queries for data retrieval efficiency, coupled with the implementation of Convolutional Neural Network for effective feature extraction from documents.

• Implemented Exponential Smoothing for time series forecasting, enabling accurate predictions of future user expenses.

• Optimized the financial data integration process by deploying Isolation forest algorithms for anomaly detection, achieving a 35% enhancement in data accuracy.

Gustovalley Technovations, Mumbai, India Feb 2022 – April 2022

• Applied statistical analysis and ML algorithms to enhance crop yield predictions for a non-profit.

• Fine-tuned Gradient Boosting Machine (GBM) using Scikit-learn, achieving a 93% accuracy in crop yield predictions.

• Conducted feature importance analysis and generated insightful visualizations using Matplotlib and Seaborn. Vice President, DJS Antariksh, University of Mumbai, India Feb 2021 - Oct 2022

• Managed a team of 70 undergrad students, oversaw team finances and coordinated the designing of the rover.

• Developed and integrated a real-time object detection pipeline using ROS and YOLOv5 on the Mars Rover, achieving a 91% accuracy rate in detecting objects in uncharted terrains.

• Led the team to secure first place at the European Rover Challenge Remote in 2021 and 2022. PROJECTS AND PUBLICATIONS

Ml based study of public opinion and official policy for international conflicts Oct 2023 - Dec 2023

• Engineered feature pipelines for TF-IDF transformation of 5000+ documents.

• Optimized XGBoost hyperparameters for a 70% accuracy multiclass sentiment analysis on Reddit comments.

• Established GPT-3.5 as the project baseline, achieving a 41% accuracy in contextual analysis of conflict-related texts. Credit Analysis and Risk Prediction Feb 2023 – May 2023

• Engineered a predictive modelling pipeline for credit risk analysis using Python and Scikit-learn, incorporating data pre-processing and advanced feature engineering.

• Designed a stacking-based ensemble model, integrating Decision Trees, SVMs, and Logistic regression, with logistic regression as both base and meta-learner, to refine predictions and enhance model robustness.

• Implemented automated hyperparameter tuning and cross-validation, achieving an optimized model with an accuracy of 0.88 and F1 score of 0.85, demonstrating significant predictive reliability. Demand Forecasting in Supply Chain through Applied ML and Feature Engineering April 2022 - June 2022

• Conducted comprehensive Exploratory data analysis (EDA) and applied feature engineering techniques to improve the accuracy of machine learning models for forecasting food demand in the FMCG sector.

• Authored and published a comprehensive study on the project in the IJCSEITR, Vol. 12, Issue 1, June 2022, 115–122. TECHNICAL SKILLS

• Languages and Developer Tools: Python, C/C++, R, Java, SQL, SQL, Git, Google Cloud Platform, Tableau, PowerBI, Oracle

• Libraries: TensorFlow, Scikit-Learn, Keras, Pytorch, Pandas, Plotly, Seaborn, Matplotlib, NumPy, SciPy, OpenCV, NLTK

• Skills: Deep Learning, Natural Language Processing, Computer Vision, DSA, Statistical Inference, Multivariate Statistics, Data Analytics, Data Exploration and Visualization, Regression Analysis, Research and Development.