About Me
My Skills
My Projects
Employee Performance Prediction
ML model to predict employee performance.
PythonMachine LearningData Analysis
My Contributions
Work Experience
WIKI TECH CLUB
Road to WIKI Program (COHORT 1)
Sept 2024 – Present
Remote
- Contributing to open-source documentation and content creation, enhancing accessibility and comprehension of technical concepts for a broader audience.
- Collaborating with a team to refine technical articles and tutorials, improving community engagement and promoting knowledge-sharing within the Wiki Tech ecosystem.
SMART INTERNZ
Machine Learning Engineer
July 2024 – Aug 2024
Bangalore, India
- Developed an Employee Performance Prediction model using machine learning algorithms, analyzing key features to forecast productivity, aiding data-driven HR decision-making.
- Implemented data preprocessing, feature engineering, and model evaluation techniques to optimize accuracy; presented insights through data visualization tools to enhance interpretability and usability for stakeholders.
EDUNET FOUNDATION
Artificial Intelligence & Cloud Technology
June 2024 – July 2024
Mumbai, India
- It was a 4-week Internship, leveraging SkillsBuild & IBM Cloud Platform in EMERGING TECHNOLOGIES (AI & CLOUD)
- Worked with AI tools on IBM Platform for developing Chatbot which have Machine Learning integration to reply based on their Feelings and Emotions.
YBI FOUNDATION
Foundation of Data Science
June 2023 – July 2023
Delhi, India
- Conducted Exploratory Data Analysis (EDA) on large datasets utilizing Python and SQL to extract valuable insights for the purpose of optimizing marketing strategies and enhancing customer engagement.
- Created and implemented predictive models using machine learning techniques such as regression and random forests resulting in a significant 15% improvement in demand forecasting accuracy.
EI SYSTEM
Data Science Using Python
Aug 2023 – Sept 2023
Hyderabad, India
- Learned to Build Power BI dashboard to visualize Data.
- Learned to analyze data using Python Frameworks (Such as: Matplotlib, Numpy, Pandas, Scikit-Learn, SciPy, etc.)