Harshini Challa
@harshinichalla
I analyze battery and sensor datasets, build predictive models, and communicate findings through clear dashboards and reports.
What I'm looking for
I've collected and processed real-world lead-acid battery data at the National Institute of Technology, Tiruchirappalli, identifying degradation trends before model-building.
I built and statistically validated a hybrid CNN and XGBoost predictive model against baseline methods, then documented the methodology and findings for a research team. I also maintain accurate facility-data trackers and reports as an Operations Executive Intern at Smartworks Coworking Spaces.
My projects span federated battery thermal classification, thermal-aware battery management, battery state-of-health prediction with LSTM, and reinforcement-learning optimization for EV battery packs.
I use Python, pandas, NumPy, scikit-learn, PyTorch, XGBoost, MATLAB/Simulink, Excel, and Chart.js to turn datasets into models, dashboards, and accessible technical summaries.
Experience
Work history, roles, and key accomplishments
Research Intern
National Institute of Technology, Tiruchirappalli
May 2025 - Jul 2025 (2 months)
Collected and processed a real-world lead-acid battery dataset, performing exploratory analysis to identify degradation trends. Built a hybrid CNN + XGBoost predictive model and validated results through statistical comparison against baseline methods.
Education
Degrees, certifications, and relevant coursework
Amrita School of Engineering, Amritapuri
Bachelor of Technology, Electrical and Electronics Engineering
2023 -
Pursuing a Bachelor of Technology in Electrical and Electronics Engineering with relevant coursework in Signals and Systems, Digital Logic Design, Embedded Systems, and Semiconductor Devices & VLSI Fundamentals.
Availability
Location
Authorized to work in
Job categories
Skills
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