Software Engineer Computer Science

Prathamesh Damle

716-***-**** ******@*******.*** portfolio github linkedin.com/in/prathamesh-damle/ Buffalo, NY PROFILE

MS in Computer Science (AI/ML), SUNY Buffalo. Data / Software engineer with 3 years building backend systems and data pipelines that process 10M+ records/day, support 20+ dashboards, improve uptime and delivery across business teams. EDUCATION

MS in Computer Science (AI/ML Track) State University of New York at Buffalo Buffalo, U.S.A. January 2025 – Present

● Grade (till now): 4 GPA Expected Grade: 4 GPA, Distinction B.E. in Electronics and Telecommunication Engineering Pillai College of Engineering Mumbai August 2017 – June 2021

● Graduated with 5th rank and 8.80 CGPA

PROFESSIONAL EXPERIENCE (more)

Data/Software Engineer Capgemini (GE Lighting) Sept 2021 – Dec 2024 Mumbai, India

● Built 25+ production ETL pipelines and integrations that processed large data sets every day, feeding analytics and operational systems used across the business.

● Cut data processing time by ~40% and raised system availability to ~97.5%, reducing outages and accelerating reporting for stakeholders.

● Implemented automated tests, CI/CD, monitoring, RBAC/IAM, and schema-driven validation to prevent errors and speed incident resolution.

Tools: Python (FastAPI), PySpark, Java, SQL, Airflow, GitLab, AWS, Snowflake/Redshift/S3 Data Analyst Explorer Transportation Data Science (TDSP) December 2024 - February 2025 Remote, USA

● Analyzed 1.8M NYC collision records (29 fields); automated cleaning to reach 95% usable data, enabling reliable insights.

● Identified top 3 collision causes and peak-risk hours (2–6 PM), and delivered prioritized, actionable recommendations to DOT / FHWA.

● Produced visualizations and briefings that helped stakeholders understand risk drivers and plan safety interventions. Tools: SQL, Python, data-cleaning and visualization tools. Teaching Assistant – Business Intelligence DataSoSi EdTech June 2025 – August 2025 Remote, Canada

● Co-taught a 12-week course on business intelligence: labs and assessments covered data modeling, ETL (data pipelines), forecasting, and dashboards.

● Mentored students in Excel, data tools, SQL, and dashboarding; led ML workshops on regression and classification.

● Held office hours on statistics, model evaluation, and how to interpret analytical results for business decisions. Tools (concise): Excel, Power BI, Tableau, SQL, basic ML toolkits, SSIS, Data Science foundations PROJECTS (Research Projects)

● Cloud ETL Replacement - Lead (5-person team)

Modernized legacy SAP ETL to cloud microservices & Spark on AWS; added CI/CD, QA checks, monitoring and PyTorch inference. ~80% cost reduction; saved ~8 hrs/week.

● vlink - Founder & Product Lead

Launched decentralized matching product and Hiring Score; led backend, analytics & experiments, time-to-hire down 57% (13 days); CAD 300K seed raised.

● Smart Attendance System (facial-recognition attendance) using MT-CNN; built with Python (tkinter/PyQt) + SQLite. Team paper accepted at CTFC and published in an IEEE publication. TECHNICAL SKILLS (certifications)

Python · Java · JS · R· SQL (Postgres/MySQL) · PySpark · FastAPI · React + TypeScript · Scala · REST/GraphQL · NoSQL

(MongoDB/DynamoDB) · AWS · Docker · Databricks · Kubernetes · Git · CI/CD (GitLab/Jenkins) · pytest · CloudWatch · IAM/RBAC · Agile · ETL · Kafka · S3/GLUE · Kinesis · Redshift · Snowflake · DBT · ML Modeling · Statistical Analysis