Tech Stack: Python, GitHub, Pandas, NumPy

Expert’s cases:

1. Applied Variance Inflation Factor (VIF) to discern multicollinearity and refine feature selection, enhancing the robustness of predictive models

2. Showcased prowess in Artificial Intelligence by creating a Convolutional Neural Network (CNN) model for precise image classification, demonstrating proficiency in cutting-edge computer vision techniques

3. Leveraged Natural Language Processing (NLP) for text classification, deftly extracting insights from textual data and contributing to comprehensive data-driven solutions

4. Integrated Power BI to craft dynamic dashboards, unveiling interactive data visualizations and driving informed decision-making

5. Implemented hyperparameter tuning techniques to optimize model configurations, significantly elevating accuracy and ensuring peak performance

6. Leveraged Git Hub and MLOps for streamlined model version control and seamless integration of machine learning pipelines, ensuring efficient collaboration and deployment

7. Commanded Time Series Analysis to predict and forecast trends, applying data-driven insights to anticipate future patterns and facilitate proactive decision-making

8. Employed Linux proficiency to execute data science tasks, fostering a versatile and efficient working environment

9. Diverted 32% of zonal load of Armstrong sorter by extending zone-8 conveyor in two different parts which helps in reducing connecting time

10. Reduced 5% of breakdown of sorters and profilers by daily analyzing data and with effective maintenance

11. Reduced 17.85 % of no power complaints from FY-2019 to Fy-2022 by effectively analyzing data

12. Total 34.6% no power complaints reduced in FY-2020 compared to FY-2019 on 22 kv Old kasheli feeder

13. Capitalized total 5.76 crore amount in FY-2022 for LT (low tension) maintenance with proper execution of plans after analyzing past records

14. Achieved zonal target of 7% reduction in NPC (no power complaints) for both FY 21 and 22