Amit Kumar Mishra

High-Performance Operations Intern

Orlando City SC•  October 2023 - April 2024•  Dallas, TX

Developed Machine Learning models to enhance predictive accuracy of the Fatigue Index and Readiness Score by 15%, utilizing Hyperparameter tuning and Elastic Net regularization. Extracted key insights from performance data and constructed a real-time decision support tool by deploying a regression-based Readiness Score Predictor on Streamlit. Collaborated with the Sports Science Department to provide insights based on KPIs, creating Tableau dashboards that facilitated data-driven strategies for optimizing player performance. Conducted data cleaning and pre-processing on performance data to ensure data quality.

Data Engineer

M/S Witball Co•  August 2018 - July 2022•  Bengaluru, KA

Data Ingestion and Transformation • Ingested and processed batch data from Google and Adobe Analytics into Databricks, utilizing Python and SQL to ensure efficient data extraction, transformation, and loading (ETL) for enhanced data integrity. • Configured Databricks Jobs for ETL workflows, automating data ingestion and transformation to streamline pipeline efficiency and reduce manual intervention. • Performed data transformation and cleaning on Databricks, structuring raw analytics data for business use and ensuring consistency across reporting and downstream analytics processes. • Leveraged Databricks’ Spark capabilities to handle large-scale data ingestion and transformation, optimizing pipeline performance and reducing latency. • Stored transformed data in PostgreSQL for analytics and reporting, ensuring easy accessibility. Data Analysis and Forecasting • Composed and executed an A/B testing framework using Python and pandas to evaluate content strategies, achieving a 15% increase in click-through rates for targeted articles. • Monitored financial performance by conducting a comparative analysis of ad revenues with plans and forecasts. • Utilized Power BI for data visualization and reporting, to understand demographics, customer segmentation, customer behavior, preferences, and ad interactions. • Built a forecasting model using ARIMA/SARIMA for predicting company revenue and profit trends based on historical financial data. • Integrated research insights from various tools into strategic planning, ad placement, & decision-making process and improved revenue by 30%. • Used Python and Excel for analysis, integrating variables such as market growth, pricing, and operational efficiency.

Content Analyst, Sports Editor

Sportskeeda•  April 2017 - July 2018•  Bengaluru, KA

Leveraged SQL queries to perform in-depth data analysis, identifying high-performing marketing channels. Utilized Google Analytics and Google Search Console data from over 15 million monthly users to revise and refine content strategies, leading to a 10% improvement in Google Search ranking. Edited and published articles across various sports genres, securing three Editor of the Month awards for quality. Authored over 70 columns and contributed diverse perspectives to enhance audience engagement and site content.