Data Scientist Program Manager

MOHIT MALU

San Diego, CA Email: *********@****.*** +1-858-***-**** https://www.linkedin.com/in/mohit-malu/ PROFESSIONAL SUMMARY

Data Scientist with hands-on experience in Python, ML modeling, and big data analysis. Skilled in using advanced algorithms to derive actionable insights from structured and unstructured datasets.

SKILLS

Programming Languages: Python, SQL, Shell Script, R, MATLAB.

ML & Data Science: Scikit-learn, Pandas, NumPy, ML Pipelines

Big Data: Spark, Hadoop

Visualization: Matplotlib, Seaborn, Power BI, Tableau PROFESSIONAL EXPERIENCE

San Diego State University

Research Assistant: 08/2024 – Present San Diego, CA o Analyzed foot traffic data using Python (pandas, NumPy), performed regression and time-series modeling to evaluate business success. o Developed ML models using scikit-learn and clustering (KMeans) to predict regional mental health trends based on survey data. o Cleaned, visualized, and interpreted datasets using pandas, Seaborn, and Tableau; presented insights via dashboards.

Akshay Embedded Systems Pvt. Ltd.

Data Scientist: 08/2019 - 12/2021 Pune, India

o Led exploratory data analysis and hypothesis testing on sensor and controller logs from Honeywell PI and SCADA systems to uncover patterns in system failures, latency, and usage behavior.

o Deployed supervised learning models in Python (scikit-learn) to detect anomalies in time-series performance data, improving early fault detection by 18%.

o Engineered features from raw sensor signals, controller states, and metadata to train predictive models for hardware failure risk and maintenance scheduling.

o Designed and deployed operational dashboards in Tableau to communicate insights to engineering and production teams, enabling real-time monitoring of system health.

o Utilized AWS S3 and EC2 to manage model deployment workflows and scalable log ingestion pipelines for downstream analysis. Junior Testing Engineer: 01/2018 - 08/2019 Pune, India o Conducted statistical analysis of embedded system test logs using Python and R, identifying trends and recurring faults across device families. o Built regression models and clustering-based diagnostics for system validation, reducing time to resolution in QA cycles. o Deployed automated data wrangling scripts to clean and normalize historical logs, increasing the quality of training datasets for ML tasks.

Seven Mentor Pvt. Ltd.

Intern Engineer: 07/2017 - 12/2017 Pune, India

o Conducted SQL data analysis and created optimized queries for efficient data management. o Supported diverse database administration tasks, including data retrieval, manipulation, and optimization. o Applied SQL expertise to extract actionable insights, directly contributing to improved business decisions. PROJECTS

Professional Project:08/2018 – 02/2019 Pune, India Predictive Maintenance using PI Controller Logs, Akshay Embedded Systems Pvt. Ltd. o Modeled fault events from historical controller data using time-series forecasting and anomaly detection algorithms. o Deployed a prototype ML pipeline integrating Honeywell logs via AWS S3, supporting near-real-time inference and Tableau-based alerting.

Academic Project:08/2022 – 12/2022 San Diego, CA Mental Health Attitude across Geography

o Engineered a comprehensive big data pipeline to analyze geographic and demographic trends in mental health across distributed systems. o Built a Python-based ML model to study variations in mental health by work environment and region, earning third place out of 15 teams in the Decision Support Systems class.

EDUCATION

Master of Science: Information Systems,08/2022 – 05/2024 San Diego State University, CA. Aggregate: 3.6 GPA Coursework: Enterprise Database Management, Business System Analysis and System Design, Information Security Management, Project Management.

Bachelor of Engineering: Electronics and Telecommunication Engineering, 08/2013 – 05/2017 Pune University, India. Aggregate: 3 GPA

Coursework: Electronic Product Design, Network Management, Signals and Systems, Digital Signal Processing, Image Processing, Machine Learning. CAMPUS INVOLVEMENT

Student Assistant :05/2023-05/2024 San Diego, CA Office of Housing and Residential education

o Served as the primary liaison for student residents, addressing queries and resolving issues while demonstrating strong problem-solving skills. COMMUNITY LEADERSHIP AND ENGAGEMENT

Gunvantiben Thakkar NGO,02/2022 – 06/2022 Latur, India

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