Debarghya Mitra

Worked closely with clients, understanding their specific requirements, and translating them into actionable dashboard solutions. Led the development and implementation of financial dashboards, providing critical insights into financial performance, budget allocation, revenue forecasting, and cost analysis for an international pharmaceutical client. Collaborated with clients to design and deploy procurement dashboards, streamlining supplier management, cost tracking, and procurement strategy assessment, leading to cost savings of nearly 3.5 million and enhanced supplier relationships. Played a pivotal role in creating supply chain management dashboards, offering real-time visibility into inventory levels, production schedules, logistics performance, and supply chain risks.

Conducted extensive market research to identify emerging trends, target audience preferences, and competitor strategies within the education technology industry. Led successful partnership negotiations with prominent education institutions, expanding the company's reach and establishing key strategic alliances. Collaborated with cross-functional teams to design and launch innovative educational technology products.

Assisted in the collection and organization of diverse datasets, ensuring data quality through data cleaning, handling missing values, and data transformation. Conducted comprehensive EDA to understand the characteristics and patterns within the data. Collaborated in the development and implementation of machine learning models. Applied algorithms such as regression, classification, and clustering to solve various business problems.

Worked closely with senior analysts and coaches to gather and analyze data, identify patterns and provide insights to support decision-making. Developed skills in video analysis, studying match footage to identify key moments, player movements, and tactical strategies. Assisted in the creation of statistical models and algorithms to evaluate player performance, team dynamics, and match outcomes.

Played a crucial role in utilizing advanced analytical techniques and machine learning algorithms to predict the political party affiliation of taxpayers. Conducted exploratory data analysis to gain insights into the relationships and patterns within the dataset. Employed various machine learning algorithms such as logistic regression, decision trees, random forests and gradient boosting.

Collaborated in the development and implementation of machine learning models. Applied algorithms such as regression, classification and clustering to solve business problems. Demonstrated a strong commitment to data-driven problem-solving, technical proficiency in data analysis and effective communication within a team environment.