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Hey there πŸ‘‹

Welcome to MyGit πŸ˜„

About Me

I am Shrikant Biyani and I am a Data Scientist.

  • 🌱 I’m currently learning Applying Machine Learning and Deep Learing in Finance And Accounting
  • ⚑ Fun fact: I am Commerce Graduate πŸ˜„ and aiming AI Engineer πŸ˜„
  • πŸ“š Good Understaing of Machine Learning Algorithms and Concepts
  • 🦾 Good Analitical Skills and Understands Business Requirements
  • πŸ”¬ Loves to Experiment with Data and find interesting facts.
  • πŸ“« How to reach me: [email protected]

πŸ’Ό Work Experience

  1. iNeuron Intelligence, Bangalore β€” Data Scientist Intern - August 2021 - Present

    • Domains worked in - Banking, e-Commerce, Retail
    • Data Wrangling and Data Cleaning;
    • Text Analysis and Cleaning;
    • Used Web Scraping for data gathering;
    • Formulate Complete MachineLearning Pipeline for product;
    • Design ML Architecture for Product;
    • Use OOPs concept while writing codes;
    • Prepare Documentation for High Level as well as Low Level Personnels;
    • Deploy Product into Production and store data generated at user end into Database
  2. Ignitus β€” Data Scientist Intern - November 2021 - Present

    • Data Wrangling; Data Cleaning; Visualization
    • Building Pandas Pipeline;
    • Gathering Data through Web Scraping;
    • Applying Machine Learning Algorithms
    • Applying NLP and Computer Vision in Research
    • Applying Dimensionality Reduce Algorithms to reduce dimensions from data
  3. Self-Work β€” Data Scientist - June 2020 - Present

    • Data Gathering by using Web Scraping Tools like BeautifulSoup, Scrapy, Urllib, Request and Selinium;
    • Data Visualizing by using Visualizing Tools like Matplotlib, Seaborn, Dash-Plotly, GGPlot;
    • Data Cleaning by using Pandas, RegEx, etc;
    • Building Machine Learning Model
      • In Supervised Learning Business Problems, i.e., Regression and Classification
      • Also applied Clustering and Dimentionality Reduction Algorithms
    • Use Feature Engineering for select precised feature and transform features
    • Use OOPs Concept while writing codes
  4. M/s Gayatri Traders, Aurangabad β€” Manager - April 2016 - August, 2020

    • Accounting and Up-to-date Daily Book-Keeping; Filling and Calculating GST - Input and Output;
    • Inventory Maintenance and Stock Analysis; Manage Daily Commodity Trading Activities in CottonSeed and CottonSeed Cake Meal;
  5. Future-Generali Insurance Ltd., Aurangabad β€” Insurance Advisor - 2009 - 2012

    • Worked in Life and General Insurance Advisor; Generate new Clients; Provide Services to Existing Customers regarding Insurance;
    • Business Logged - 15LPA
  6. Nagar Urban Co-op. Bank Ltd, A’Nagar - Aurangabad Br β€” As Clerk - April 2011 - March 2012

    • Cheque Clearing; Pass Entries to Account heads; Provide Customer Service;
    • Check Customer KYC documents; Check Documentation for Loans; Log Customers Applications;
  7. M/s Bagdia Infrastructure Ltd, Jalna β€” Accountant - April 2009 - March 2011

    • Pass Daily Accounting Entries; Calculate VAT and Service Tax Liability; Bank Reconciliation; Prepare Balance Sheet and Profit & Loss A/c
  8. M/s Navkar Enterprises, Aurangabad β€” Accountant - June 2007 - March 2009

    • Pass Daily Accounting Entries; Calculate VAT and Service Tax Liability; Bank Reconciliation; Maintain Inventory Records; Maintain Purchase and Sales Books

Shrikant Biyani's Projects

banking_domain icon banking_domain

Consists Banking Financial Institutes and Non-Banking Financial Institutes related.

investopedia_simulator_api icon investopedia_simulator_api

A simple Python API for Investopedia's stock simulator games. This programmatically logs into Investopedia and can retrieve portfolio summary, get stock quotes & option chain lookups, execute trades - buy & sell shares, puts, calls, sell short, etc.

ofilt icon ofilt

Filtering call and put options

philbot icon philbot

A trading bot based on exponential moving averages (EMA). Hope to be able to include more strategies in the future.

projectreward icon projectreward

A software to shortlist and find the best options spread available for a given stock and help it visualise using payoff graphs.

quant-trading icon quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

stock_market icon stock_market

collection of scripts and snippets to help me deal with the stock market

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