Data Analyst Machine Learning

Varun Sharma

973-***-**** ******.*********@*****.*** http://www.linkedin.com/in/varun-sharma97 https://github.com/vshar102 Data Analyst with 3+ years of experience building AI/ML solutions and full-stack systems delivering up to 70% efficiency gains. Skilled in Python, SQL, JavaScript/TypeScript, and Java for predictive modeling, statistical analysis, and LLM integration. Proven expertise in scalable data pipelines, ETL workflows, real-time dashboards, and production-grade ML on AWS/Azure. Specialized in RAG systems, A/B testing, and transforming complex data into strategic insights that shorten development cycles and enhance decision-making. EDUCATION

Drexel University Sep 2022 – Jun 2024

Master of Science in Data Science, GPA: 3.91/4.0 Philadelphia, USA Coursework: Machine Learning, Deep Learning, Statistical Analysis, Database Management, Applied Analytics. SRM Institute of Science and Technology Jul 2016 – May 2020 Bachelor of Technology in Computer Science & Engineering, CGPA: 6.88/10.0 Chennai, India Coursework: Data Structures, Algorithms, Database Management Systems, Software Engineering. SKILLS

Programming Languages: Python (Advanced), Java (Core Java, Java EE), JavaScript/TypeScript, C#, SQL, UNIX/Linux, C++, R, .NET Framework, VB/ASP.NET, LLM Function Calling, Prompt Engineering. Frameworks & Tools: Spring (Framework & Boot), FastAPI, Next.js, React, LangChain, HuggingFace, Node.js, .NET Core. Machine Learning: RAG Systems, Vector Embeddings, Transformer Models, KPIs, Predictive Modeling, Statistical Analysis. Cloud & Infrastructure: AWS, Azure, OpenShift, Docker, Hadoop, Apache Airflow, RESTful APIs, Microservices Architecture. Data Visualization & BI Tools: Excel, Tableau, Power BI, Streamlit. Databases: PostgreSQL, MySQL, MongoDB, Vector Databases, Data Warehousing, ETL Processes, Database Design & Optimization. DevOps & Development Practices: Git, CI/CD, Performance Optimization, System Debugging, Load Balancing, Object-Oriented Design Patterns, Software Development Lifecycle (SDLC), Agile Methodologies. PROFESSIONAL EXPERIENCE

AI Intern Smart Rewards Inc. New York, USA Jan 2025 - Present

● Built production-grade RAG chatbot using LangChain, HuggingFace and Groq LLaMA-3.1 with 85% query accuracy and support for concurrent real-time chats.

● Designed a full-stack ML pipeline with automated text processing and real-time inference, cutting manual search time by 70%.

● Created a responsive Streamlit interface with real-time chat and source validation, boosting user engagement by 60%.

● Improved performance with caching and error handling, reducing API latency by 45%. Data Analyst Drexel University Philadelphia, USA Oct 2024 - Present

● Collaborated in AI research with Prof. Milad and Jefferson Hospital, achieving 97% accuracy on 10K+ mammograms using CLIP and Vision Transformers.

● Streamlined SQL extraction from 1K+ records, saving 3 hrs/week in data retrieval with 98%+ data quality.

● Developed custom Vision Transformer models (SWIN-T, ViT, CLIP) for dual-view mammograms, achieving 90%+ accuracy and enabling 25% potential boost in early detection survival rates. Data Analyst Intern Drexel University Philadelphia, USA Sep 2023 - Dec 2023

● Engineered end-to-end analytics solutions in Python with automated validation, accelerating insights delivery by 45%.

● Built robust ETL pipelines integrating multi-source data, boosting organizational data accessibility by 40% and maintaining 98%+ data quality using TensorFlow and PyTorch.

● Streamlined reporting workflows to deliver timely business insights, reducing turnaround time by 35% for strategic decisions. Software Engineer Cognizant Technology Solutions Bangalore, India Jul 2020 - Jul 2022

● Developed enterprise applications with Core Java, Spring, and React, using automated testing to accelerate dev cycles by 40% and ensure 99.9% uptime for critical systems.

● Designed cloud-native solutions on Azure, AWS & OpenShift with CI/CD, cutting provisioning time 60% and scaling 15+ apps.

● Drove SDLC with OOP patterns and automation, cutting defects by 35% and time-to-production by 50%.

● Streamlined offshore collaboration with automated tracking, boosting delivery by 30% and cutting delays by 45%.

● Led microservices adoption and tech evaluations, boosting performance by 25% and cutting maintenance by 40%. CERTIFICATIONS & LICENSES

AI Agents and Agentic AI with Python & Generative AI Vanderbilt University Microsoft Certified: Power BI Data Analyst Associate IBM Data Science Specialization

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