Data Science with less than a year in Data Engineering & Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science postgraduate passionate about translating business requirements into data-driven solutions. Gained hands-on experience in data migration and Power BI through internships at Eli Lilly and Company and Godrej Agrovet. Proficient in Python, SQL, Power BI, AWS, and Databricks. A natural problem-solver who communicates data findings clearly to both technical and non-technical stakeholders, and adapts quickly to new tools and challenges.
SVKM's NMIMS
Master of Science · Data Science
August 1, 2024 – June 30, 2026
S.I.E.S College of Arts, Science and Commerce
Bachelor of Science · Statistics
August 1, 2021 – June 30, 2024
Eli Lilly and Company
BI&A Data Engineering Intern
January 1, 2026 – Present
Bengaluru, Karnataka, India
Godrej Agrovet
Power BI Intern
May 1, 2025 – June 1, 2025
Mumbai, Maharashtra, India
Flight Navigation and Projectile Prediction with Liquid Neural Networks
December 1, 2024 – March 1, 2025
Explored the use of liquid neural networks to enhance the performance and decision-making of autonomous drones, focusing on navigation and path prediction for incoming projectiles. Trained agents using reinforcement learning in simulated environments, experimenting with three simulators: CARLA, MuJoCo, and Gazebo integrated with ROS2. Research demonstrated that advanced neural network architectures in reinforcement learning improve agent robustness and performance, while reducing training time and maintaining lower complexity.
Demand Forecasting
August 1, 2024 – September 1, 2024
Engineered dynamic Power BI dashboards to perform detailed exploratory data analysis (EDA) and visualize sales and demand patterns across 45 Walmart stores, uncovering actionable business insights. Conducted comprehensive data preprocessing, including data cleaning, feature engineering, and trend decomposition, followed by advanced time series forecasting using Holt-Winters exponential smoothing in Python. Captured seasonality and long-term trends effectively, achieving a forecasting accuracy of 95.21%, supporting precise demand planning, inventory optimization, and strategic decision-making.
Customer Churn Analysis Project
June 1, 2024 – July 1, 2024
Crafted and developed an interactive Power BI dashboard to uncover customer churn and retention patterns, supporting data-driven decision-making. Utilized DAX functions for advanced KPI calculation and Power Query for efficient data cleaning and transformation. Created dynamic visualizations with slicers, drill-throughs, and filters to enable churn prediction and recommend effective customer retention strategies, aligning insights with business needs.
Complete Computer Vision Bootcamp with PyTorch and TensorFlow
Unknown
January 1, 2025 – Present
DeepLearning.Al Data Engineering Professional Certificate
Unknown
January 1, 2025 – Present
OCI AI Foundation by Oracle
Oracle
January 1, 2024 – Present
Fundamental Algorithms: Design and Analysis by NPTEL
NPTEL
January 1, 2023 – Present
The Joy of Computing using Python
Unknown
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects cover diverse areas like drone navigation, demand forecasting, and customer churn analysis, indicating a broad interest and adaptability. Their internships at Eli Lilly and Company and Godrej Agrovet show exposure to different industry contexts. The pursuit of various certifications, including DeepLearning.AI Data Engineering and Computer Vision, highlights a commitment to continuous learning and skill expansion, which aligns well with a dynamic data science environment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and communication skills through project descriptions and internship responsibilities. Their ability to adapt quickly to new tools and challenges, as stated in the professional summary, suggests good operational fit and a proactive learning attitude. Experience in developing dashboards and presenting insights indicates a focus on delivering actionable results.