About Me
I'm a data science enthusiast skilled in statistical analysis, machine learning, and data visualization. Passionate about uncovering insights from complex datasets to drive informed decision-making. My goal is to contribute to impactful projects, constantly staying updated with the latest advancements in data science.
Technical Summary
- Experience: Hands-on experience in data science, encompassing the end-to-end development of predictive modeling solutions.
- Programming: Proficient in Python, specializing in data analysis and AI frameworks (NumPy, Pandas, Scikit-learn, Jupyter).
- SQL: Comfortable working with SQL Server and some exposure to Spark.
- Analytics: Familiarity with a range of machine learning techniques (supervised/unsupervised), deep learning, neural networks, and Natural Language Processing (NLP).
- Problem Solving: Skilled in troubleshooting and analytical thinking.
- Data Visualization: Proficient in creating insightful visualizations using tools such as Matplotlib and Seaborn.
- Statistical Analysis: Good foundation in statistical concepts and their application in data analysis.
- Big Data: Exposure to big data technologies, including Hadoop and Spark.
- Ethical AI: Understanding of ethical considerations in AI development and deployment.
Tools
- Languages: SQL, R, C, Python 🐍
- Databases: SQL Server, Spark 💽
- IDE: PyCharm, VS Code, Atom, Jupyter Notebooks 💻
- BI Tool: Excel, Tableau, PowerBI 📊
Experience
Analyst
- Utilized advanced analytical techniques to derive actionable insights from complex datasets
- Collaborated with cross-functional teams to translate data findings into business strategies
- Designed and implemented interactive dashboards for visualizing key metrics
Data Analyst Trainee
- Worked with teams to gather, clean, and organize data from various sources
- Explored data patterns and trends to shape practical strategies
- Created clear reports and interactive visualizations
Skills
Python R SQL Machine Learning Statistical Analysis Data VisualizationInterests
Artificial Intelligence Big Data Natural Language Processing Ethical AI Deep Learning TinyMLProjects
Web Traffic Analysis for Conversion Rate Improvement - Zoompare
Analyzed website traffic data to identify patterns and optimize conversion rates using Python and Google Analytics.
Contributions: Performed web traffic analysis, Implemented A/B testing, Aligned findings with engineering teams
Tasks:
- Extracted data from Google Analytics API
- Designed funnel analysis
- Proposed page optimizations
Customer Segmentation using Clustering Analysis - Rubixe
Applied clustering analysis to customer data and visualized resulting segments using Python.
Contributions: Defined data preprocessing steps, Implemented K-means clustering algorithm, Evaluated and visualized distinct customer segments
Tasks:
Lead Quality Prediction - Rubixe
Explored data and utilized multiple models to predict lead quality for sales prioritization.
Contributions: Explored data, Utilized multiple models, Identified the top-performing model
Tasks:
Movie Recommendation System - Rubixe
Developed a collaborative filtering-based recommendation system for personalized movie suggestions.
Contributions: Built collaborative filtering models, Explored various recommendation algorithms
Tasks:
Sentiment Analysis of Customer Reviews - Sentix
Analyzed sentiment in customer reviews using natural language processing techniques.
Contributions: Developed sentiment analysis model, Implemented NLP techniques
Tasks:
Predictive Maintenance System - TechCorp
Developed a predictive maintenance system to anticipate equipment failures and enable proactive maintenance.
Contributions: Built predictive maintenance model, Integrated with existing maintenance systems
Tasks:
Fun Projects
Incident Tracker
A tool to record, track, and manage incidents efficiently within a company.
Features:
- Add incidents with details like INC Number, Caller Number, Status, Date, and Summary
- Search and filter incidents
- Pagination through incident history
- CSV export and import
- Professional interface
Bias & Fairness Checker [AI]
A sleek web tool powered by AI to detect potential biases in text and suggest inclusive language improvements.
Features:
- Analyzes text for bias with detailed, structured reports
- Real-time AI model status updates
- Responsive, user-friendly interface with Markdown rendering
- Built with Flask and Google's Gemma AI model
AI Data Structurer [AI]
An AI-powered web app that transforms unstructured data into organized formats using Flask and Gemma.
Features:
- Automated data organization
- Copy-to-clipboard functionality
- Responsive design for desktop and mobile
Jawala Vyapar
An online phone directory for local businesses in [Village Name], with category filtering, search, and multi-language support.
Features:
- Category filtering and search
- Mobile-first, responsive design
- Multi-language support
Report Generator [AI]
An AI-powered tool to capture data and generate insights for business decisions using Python.
Features:
- Data capture and analysis
- Automated insight generation
- Business decision support
Certifications
- AWS Cloud Technical Essentials - Amazon Web Services (AWS), Issued Dec 2024
- Foundations: Data, Data, Everywhere - Google, Issued Apr 2024
- Technical Support Fundamentals - Google, Issued Dec 2023
- Certified Data Scientist - IABAC, Issued Sep 2023
- Data Science Foundation - IABAC, Issued Aug 2023
- Certified Data Scientist Certification - DataMites™, Issued Apr 2023
- 100 Days of Code: The Complete Python Pro Bootcamp - London App Brewery
- The Data Science Course Complete Data Science Bootcamp - 365 Data Science
Want to see more?
Explore My BI Dashboards
Discover my collection of interactive Business Intelligence dashboards showcasing data visualization skills.
Interested in working together?
Get in touch!
Contact
Feel free to reach out if you'd like to connect, discuss a project, or just say hello!