Hi. I'm Harsha.👋

"Data has all the answers, if you can ask the right questions" As a curious person, who enjoys exploring, lets go on a journey, where at times we work on complex data analysis, and at times we have fun with visuals. Combining the love for visuals and math creating insights to drive impactful decisions.

What I know.

Tools and areas that I have experienced with.



Tools & Technologies

âš¡ Python âš¡ SQL âš¡ R âš¡ Tableau âš¡ MongoDB âš¡ Azure âš¡ SAS âš¡ SPSS âš¡ Excel âš¡ Adobe Photoshop âš¡ PowerPoint âš¡ Mathematica âš¡ Matlab âš¡ CSS âš¡ WordPress âš¡ Jira âš¡ Jenkins âš¡ IBM RTC âš¡ PowerPoint âš¡ Outlook âš¡ PHP âš¡ HTML


Other Skills

âš¡ Data Modeling and Forecasting
âš¡ Data Mining and Visualization
âš¡ Data and Quantitative Analysis
âš¡ Machine Learning âš¡ Geospatial Data Analysis âš¡ Hypothesis Testing âš¡ Web Scraping âš¡ Statistical analysis âš¡ Probability distribution âš¡ Linear Regression âš¡ Time Series Analysis âš¡ Logistic Regression

Certificate

Business Statistics and Analysis

  • Introduction to Data Analysis Using Excel
  • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions
  • Business Applications of Hypothesis Testing and Confidence Interval Estimation
  • Linear Regression for Business Statistics
  • Business Statistics and Analysis Capstone

    • Google Data Analytics

  • Gained good understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job
  • Learned key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau)
  • Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming

    • Microsoft Certified: Azure Fundamentals

  • By completing this Azure Fundamentals certification, I have gained foundational level knowledge of cloud services (Azure Cloud Data, Cloud Networking, Cloud Security, Cloud Services, Cloud Storage, Virtualization) and how those services are provided with Microsoft Azure.




    • Databases and SQL for Data Science

  • Create and access a database instance on cloud.
  • Write SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE etc.
  • Filter, sort, group results, use built-in functions, access multiple tables.
  • Access databases from Jupyter using Python and work with real world datasets.

    • Projects.

    Some Projects I have worked on

    Web scraping using Python

    Developed Python modules to do web scraping for a curriculum in MS program "Multidisciplinary Studies - Data Science & Analytics track " (DSA) at Buffalo State.

    1. Developed Python modules to scrap YouTube comments, likes, views, etc using YouTube API.
    2. Built Python modules to scrape Yelp and Trip Adviver comments and scores
    3. Developed Python modules to scrape social media pages data for sentiment data analysis

    Multi-period binomial tree pricing model using Python

    Build a multi-period binomial tree option pricing model to estimate the value of a call option price and put option price using Cox-Ross-Rubinstein model and Lognormal model. And do the comparison for output of those two model.


    Contact

    Email : kankanhm01@mail.buffalostate.edu
    Phone :(716) 602-1458
    Address: Discovery St, Hillsboro, OR, 97124

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