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anuragisi/README.md

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Hi đź‘‹! My name is Anurag Prasad

With 2+ years of hands-on experience in the data domain, I’ve worked across diverse industries, addressing complex business challenges and delivering impact-oriented, data-driven solutions to enhance decision-making processes.

Currently, I am working remotely as a Consultant (Quantitative Researcher) for a US-based Quant Finance startup, co-founded by industry veterans with 80+ patents, 1500+ citations, and leadership backgrounds at Microsoft, Skyflow, Fujitsu, Morgan Stanley, Deutsche Bank, and Goldman Sachs. The firm is pioneering cutting-edge solutions at the intersection of AI and Quantitative Finance, focusing on systematic trading strategies and scalable AI infrastructure.

Previously, I completed a paid Data Analyst internship at a startup BVPL, Gurugram, where I was assigned to a live client project from day one. Despite a steep learning curve, our small team overcame challenges and delivered all milestones ahead of schedule, avoiding any project penalties from the client. My contributions towards building scalable data pipelines, conducting rigorous Data Quality validations (manual and automated) testcases, and ensuring high-precision Data delivery along with the development of robust web crawlers/scrapers for over 200+ data schemas/fields, mainly focusing on (Product Description Pages (PDPs), reviews, and search crawlers). In addition, I contributed to designing data acquisition infrastructure for public domain scraping, serving a major Israeli client, Bright Data — a leader in web data solutions.

I have also earned a Post-Graduate Diploma in Statistical Methods and Analytics (PGDSMA) from the prestigious Indian Statistical Institute, North-East Centre (Tezpur) - a highly selective program with an acceptance rate of less than 2% . A rigorous program that deepened my expertise in Foundational Mathematical concepts, advanced statistical modeling, data visualization, machine learning, and AI-driven predictive analytical methods.

My academic foundation lies in a Bachelor’s degree in Computer Science and Engineering (CSE)—admission earned through a competitive entrance examination—which equipped me with a solid grounding in software development, algorithms, and computational problem-solving. To broaden my managerial and organizational perspective, I also pursued a Post-Graduate Diploma in Development Management (PGDM)—a rigorous program requiring 100% attendance—which strengthened my skills in project management, strategic execution, and team leadership.


Languages and Tools:

Open to positions Data Analyst | Data Science | Business Analyst | ML and related

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  1. analysis-and-prediction-of-stock-price-using-LSTM analysis-and-prediction-of-stock-price-using-LSTM Public

    Jupyter Notebook 1

  2. signlanguagerecognition signlanguagerecognition Public

    This is the latest working code of the sign language recognition system which enables us to recognise the symbols as characters easily as we have done researched over the algorithms to try to get t…

    Python 1

  3. Black-Scholes-Merton_Option_Pricing Black-Scholes-Merton_Option_Pricing Public

    Jupyter Notebook

  4. Sales-Lead-Generation-Analysis Sales-Lead-Generation-Analysis Public

    Jupyter Notebook 1

  5. zerodhamarginmultiplier zerodhamarginmultiplier Public

    It will extract the multiplier data which is essential for placing orders with right margin and so on it will help us all in getting right information

    Python 1

  6. KoboJSON KoboJSON Public

    This reporsitory is created to pull kobo form data using their api to google spreadsheet. It uses json data format while pulling te data while using kobo api.

    JavaScript