Power Bi Data Scientist

MOHIT MALU

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

Cloud Data Engineer with over 4 years of experience building and maintaining scalable big data pipelines on AWS. Proficient in Snowflake, Kafka, Spark, and cloud-native services like AWS S3,EC2 and Data Services. SKILLS

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

Cloud & Big Data: AWS S3, EC2, Snowflake, Kafka, Spark, Airflow, Hadoop

Tools: Git, Docker, Linux

Data Modeling & ETL: Data Lakes, Big Data Pipelines, AWS Data Services PROFESSIONAL EXPERIENCE

Akshay Embedded Systems

Junior Testing Engineer: 01/2018 - 08/2019 Pune, India o Developed automated Python scripts to streamline data integration testing, reducing manual effort by 17%, which contributed to faster test cycles and fewer errors.

o Resolved data inconsistencies in collaboration with data engineers, enhancing data accuracy by 22% and improving the reliability of downstream analytics.

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

o Designed and executed big data pipelines using Python, SQL, Snowflake, Kafka, and Hadoop, integrating diverse data sources into a cohesive data lake for strategic analysis.

o Enhanced data ingestion and curation processes within the company's data lake using Spark and Airflow, improving processing efficiency. o Developed scalable data models and dashboards in Power BI, facilitating real-time business intelligence and timely decision-making. o Led cross-functional collaboration efforts, aligning data engineering with business goals, which significantly improved the accuracy of predictive models and enhanced operational planning.

Seven Mentor Pvt. Lmt.

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

Engineering Final Year Project :08/2016 - 05/2017 Pune, India IOT based Sorting System for Packaging Industry

o Developed an interactive website using HTML and JavaScript for user interface management. o Utilized MATLAB for digital image processing tasks to enhance sorting system efficiency.

Professional Project:08/2018 – 02/2019 Pune, India Debugging Honeywell PI Controllers, Akshay Embedded Systems o Analyzed and resolved data inconsistencies in legacy controller logs using Python, leading to a 12.8% reduction in overall issues. o Employed data-driven troubleshooting strategies to enhance system reliability across multiple controller types.

Minor 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.

Current 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.

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. VOLUNTEER WORK

Gunvantiben Thakkar NGO,02/2022 – 06/2022 Latur, India o Organized social events such as blood donation camps and COVID-19 relief activities, contributing to community welfare.

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