sanjay kandimalla
@sanjaykandimalla
Data Analyst who turns messy data into BI dashboards and ML-ready insights for decisions.
What I'm looking for
I’m a Data Analyst with a 3.9 GPA from UT Arlington, focused on turning messy, real-world data into decision-ready reporting. I love owning the full pipeline—from raw data cleaning to dashboards and stakeholder-ready outputs.
I’ve built Power BI and Tableau-style reporting from datasets up to 1.9M records, including cleaning and validation for inconsistent categories, nulls, and date issues. In one project, my Power BI dashboard use of interactive filters cut manual report generation time by 40%, and ML validation backed up dashboard patterns with improved minority class recall.
I also deploy NLP and ML pipelines to production, especially when it improves usability for non-technical teams. My AI resume screening system combines TF-IDF and Sentence-BERT embeddings, runs as a live Streamlit app with automated PDF report generation in under 5 seconds, and reduces false negatives compared to TF-IDF-only matching.
Through internships, I’ve applied analytics to time-series sensor data and built computer-vision models with strong accuracy and iterative improvements from error analysis. I’m now looking for data analyst or BI analyst roles where I can translate analytics into clear business decisions, communicate effectively with stakeholders, and continuously improve both models and reporting.
Experience
Work history, roles, and key accomplishments
Computer Vision & AI Intern
TheSparksFoundation
Jun 2021 - Jul 2021 (1 month)
Analyzed 12,000+ labeled images using Python and OpenCV to train a face mask detection model, achieving 92% accuracy and reducing false negatives by 20% after error analysis and preprocessing improvements. Integrated the model into a live webcam feed and stress-tested performance across lighting and occlusion conditions.
IoT & Data Analytics Intern
APSSDC
May 2021 - Jul 2021 (2 months)
Analyzed time-series data from 200+ LED lighting sensors to identify usage inefficiencies, contributing to ~15 kWh/day energy savings in test environments. Built Python and Excel trend reports with automated recurring summaries, reducing manual effort by 90%.
Education
Degrees, certifications, and relevant coursework
University of Texas at Arlington
M.S. Applied Statistics & Data Science, Applied Statistics & Data Science
Grade: GPA: 3.9
Earned an M.S. in Applied Statistics and Data Science with a 3.9 GPA, completing coursework in statistical theory, advanced regression, machine learning, time series analysis, and data mining/visualization.
SRM University AP
Bachelor of Technology (B.Tech), Electronics and Communication Engineering
2019 - 2023
Completed a B.Tech in Electronics and Communication Engineering at SRM University AP (Amaravati) from May 2019 to July 2023.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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