Data Analysis, Data Engineering, Business Intelligence

SANKEERTH SRIDHAR NARAYAN

*****************@*****.*** +1-408-(833)-4211 Linkedin Github

WORK EXPERIENCE

Data Engineer Feb 2025 - Jul 2025

Changing The Present Remote

● Engineered an AWS pipeline to transfer 1000+ daily student records from Google Sheets to HubSpot CRM, eliminating manual operating overhead and reducing data entry errors by 90%

● Reduced cloud costs by 80% by implementing Lambda-triggered EC2 instances with cron jobs

● Integrated Google Sheets API and HubSpot API via Python to ensure real-time data synchronization, improving CRM accuracy for partner nonprofits. Optimized the system by implementing batch processing reducing processing time by 93%

● Designed a scalable system to process 10,000+ records monthly, enabling cross-functional teams to analyze faster Software Engineer II (Analytics)Jun 2024 - Aug 2024 Cisco San Jose, California

● Created an interactive web-based visualization framework with Panel and plotted graphical representations by extracting raw JSON data from simulators, using the HoloViz framework to analyze resource utilization for the Silicon One architecture

● Developed functionalities to track resource usage trends with commit hashes, achieving a 30% decrease in debugging

● Built a system for data extraction and automatic updates, reducing manual updates by 25%

● Optimized tracking methods, enhancing efficiency by 50% and benefiting the Silicon One team at Cisco, which consists of 800 members, by 20%

Data Analyst Jan 2023 - Jun 2023

Healthark Insights Bangalore, India

● Conducted a meta-analysis on the impact of varicocele embolization on men's fertility, achieving 100% client satisfaction

● Implemented an image processing pipeline for pre-processing and enhancing microscopic images of parasitic eggs, improving accuracy by 22%

● Conducted a systematic review on surgical interventions for anal fistula, resulting in a 30% increase in treatment efficacy recommendations

EDUCATION

UNIVERSITY AT BUFFALO Buffalo, New York

M.S. Computer Science and Engineering GPA: 3.70/4.0 Aug 2023 - Dec 2024 Relevant Coursework: Algorithms, Data Intensive Computing, Query languages, Machine Learning, Deep Learning, CV ANNA UNIVERSITY Chennai, India

B.E. Computer Science and Engineering GPA: 9.08/10 Aug 2019 - Apr 2023 PROJECTS

Website-Chatbot-Agentic-RAG

● Developed a Retrieval-Augmented Generation (RAG) chatbot that crawls documentation websites, ingests data into Supabase, and delivers context-aware answers using a LLM

● Preserved document structure (paragraphs, sentences), improving context accuracy by 30% compared to baseline retrieval Real Estate Data Pipeline for Insights

● Engineered a real-time data pipeline using AWS EMR and PySpark, processing Redfin API data with 80% uptime

● Monitored data ingestion via Snowpipe, accelerating Snowflake load times by 35% and enabling faster refresh Power BI dashboards

● Orchestrated workflows with Apache Airflow, cutting manual intervention and improving pipeline reliability by 50% Customer Spend Tracker

● Built an analytics dashboard to track spending with JWT authentication and multi-user support

● Designed real-time filtering and visualizations using Streamlit, Pandas, and Plotly, enabling users to explore transactions across categories and time ranges

● Implemented a PostgreSQL + FastAPI backend with Dockerized deployment, reducing setup complexity by 40% SKILLS

Python (Pandas, PyTorch, Tensorflow, Scikit, openCV, matplotlib, keras), SQL, R, Tableau, PowerBI, PySpark, Hadoop, Excel, Snowflake, Git, HTML, NLP, HubSpot, GCP, Jira, Docker, Fast API, PostgreSQL, Pgvector, SentenceTransformers, Streamlit, LLM CERTIFICATIONS

● AWS Certified Data Engineer - Associate Apr 2025

● Post Graduate Program in Data Analytics Dec 2022

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