Ankit Prasad

As a Business/Data Analyst with over 4+ years of hands-on experience in the field of analytics, I have gained expertise in working with data from multiple domains such as blockchain, Metaverse, and financial data. My technical skills include using Python, Power BI, and other tools to create useful reports. I am proficient in predictive modeling, data processing, data mining algorithms, and a scripting language including Python, which enables me to analyze and predict meaningful insights from the data.

Data Scientist Jan 2023-Current

EPIC Investment Partners (Jan 2023 - Present)

I am responsible for overseeing data analysis for two portfolio companies, Whittard and Rayware, while also conducting various analyses for the Epic Group.

Whittard

• Conducted comprehensive analysis across various financial metrics for the entire financial year, aiding in strategic decision-making.
• Developed interactive dashboards to monitor and analyze key performance indicators, resulting in improved data-driven insights.
• Ensured data integrity and quality within Databricks platform, proactively identifying and resolving discrepancies.
• Implemented web scraping techniques to gather competitor data, facilitating data-driven pricing adjustments and driving a remarkable 40% growth in EBITDA in 2023.

• Spearheaded Rayware's data analytical journey through thorough analysis, visualization, and dashboard development.
• Organized and executed Data Day in November, alongside a crucial insight presentation in January, leading to enhanced management and stakeholder engagement.
• Established a robust pipeline for data analytics at both Epic and Rayware, resulting in a continuous retainer fee paid by Rayware to Epic.

• Conducted numerous data analyses for the Epic Group, providing valuable insights for strategic decision-making processes.
• Conducted and analyzed surveys, improving survey analysis efficiency and providing nuanced insights for the Indian team.
• Empowered stakeholders with actionable insights, contributing to a more informed and effective decision-making process.

Data Scientist Sep 2021 – Jan 2023

Payiza

• Formulated roadmap, DAO, and NFT ratio algorithm for the Metaverse project (METASPACE)
• Created a dual tokenomics economy for the Metaverse project (METASPACE)
• Conducted A/B testing to solve client pain points in learning platforms and identified and recommended solutions to solve unclear platforms roadmaps, which reduced the bounce rate by 32 percent. 
• Worked with various Business Units to get business insight and translate those business needs into actionable and interactive dashboards in PowerBI.
• Data Maturity assessment: Designed an analytical roadmap identifying key business problems that could be solved using existing datasets and based on cost, effort, and impact metrics.
• Overhauled the existing data mining process and troubleshot various flaws, resulting in 20% more time efficient and improved data quality.
• Analyzed data, Identified Potential risks, and provided solutions to problems that resulted in 15% more customer retention than usual. 
• Trained various linear and classification models using complex algorithms for different projects with more than 90% accuracy.
• Developed web scraping program in Python to help the firm download public data, including over 10,000 company descriptions and stock quotes, enriching internal data and increasing research efficiency by over 50%

NetBios Computers

•  Utilized analytical and technical expertise to provide insights and proposals to support business improvements. 
•  Actively engaged in the quantitative analysis of sophisticated modeling to address business issues. Made Various PowerBI dashboards to track expenses of the company. 
• Gathered data with the help of various web scraping and data mining techniques using selenium and beautiful soup. 
• Develop action plans to mitigate risks in decision-making while increasing profitability by leveraging data science.
• Maintained My SQL database for analytics for real time usage
• Analysing market and customer data to identify trends and customer needs and preferences.
• Assessing competitors and their product offerings to determine the company's competitive position and potential areas for improvement.
• Creating reports and presentations to communicate findings and recommendations to senior management and other stakeholders.
• Identifying opportunities for process improvement, cost reduction, and increased productivity.
• Monitoring and analyzing industry and regulatory trends to stay up-to-date on changes that could impact the company's business.

The education program is a post-graduate level course in Data Science, Machine Learning, and Neural Networks that is offered in collaboration with IBM.