About Me
I'm a versatile developer specializing in Data Science, Blockchain, and Cybersecurity. With a strong foundation in both frontend and backend technologies, I create innovative solutions that leverage cutting-edge technologies.
My expertise includes Python (Django, Flask) for backend development, React.js and Next.js for frontend, and databases like MongoDB and PostgreSQL. I&aposm also proficient in machine learning and AI technologies, including TensorFlow, Keras, and OpenCV.
I'm also experienced with cloud platforms such as Azure Web Services and Google Cloud, which I leverage to deploy scalable and efficient solutions. My expertise extends to real-time data processing using Kafka and Zookeeper, enabling me to build robust, high-performance systems.
I'm passionate about creating secure, efficient, and scalable applications that solve real-world problems. Whether it's developing smart contracts with Solidity and Rust or implementing machine learning models, I'm always eager to take on new challenges and push the boundaries of what's possible in tech.
My Skills
My Projects
Employee Performance Prediction
ML model to predict employee performance.
My Contributions
Work Experience
WIKI TECH CLUB
Road to WIKI Program (COHORT 1)
Sept 2024 – Present
- 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
- 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
- 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.
EI SYSTEM
Data Science Using Python
Aug 2023 – Sept 2023
- 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.)
YBI FOUNDATION
Foundation of Data Science
June 2023 – July 2023
- 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.