Darshan Hariharan

An aspiring Data Analyst holds a Post-Graduation Program in Data Science and Data Analytics from Imarticus Learning, coupled with a Bachelors of Business Administration (BBA) degree. Passionate and results-driven, adept at transforming complex datasets into meaningful stories driving business decisions. Expertise lies at the intersection of data analysis, programming, and visualization, rendering a versatile professional poised to tackle contemporary data challenges.

Post Graduate Program at Data Analytics and Machine Learning 2022 - 2023 |

COURSEWORK POST GRADUATE PROGRAM

• Advanced Machine
• Learning Data Science with Python
• SQL Programming
• Deep Learning
• Data Reporting tool (Matplotlib, Seaborn, Tableau, Power BI)
• Microsoft (General Office and Presentation)

• LinkedIn - https://www.linkedin.com/in/darshan-hariharan-116201214/
• GitHub - https://github.com/Darsshhan

SQL-Powered Sales Analytics Dashboard

Actions: Integrated SQL database seamlessly with Power BI, leveraging the robust capabilities of both technologies. Initiated the project by conducting comprehensive data analysis using SQL to gain valuable insights into the underlying data structure. Employed various SQL queries and techniques to comprehend the intricacies of the dataset, ensuring a solid foundation for subsequent dashboard development.

Project Outcomes: Successfully combined the power of SQL and Power BI to deliver a highly effective Sales Analytics Dashboard. Users can interactively explore and analysis sales data, thanks to the seamless integration of SQL-generated insights into the visually appealing and user friendly Power BI interface.

Hyperparameter - Tuned Income Prediction Model

Actions: Conducted comprehensive data preprocessing, outlier treatment, feature encoding, and model development using Python and scikit-learn libraries. Explored, cleaned, and transformed the dataset to prepare it for predictive modelling.
Project Outcomes : • Utilized cutting-edge machine learning techniques, including hyperparameter tuning, SMOTE for class imbalance, and strategic feature engineering, to predict annual incomes exceeding $50K. Attained remarkable model accuracy, with Logistic Regression scoring 83.6% and Random Forest achieving an impressive
83.2%. Delivered nuanced insights for precision and recall optimization, demonstrating an adept understanding of model intricacies and their impact on business outcomes.

Cricket (City-Level):

• Represented [City-4] in TNCA round-robin format and DIVISION.
• Contributed significantly to the club's exceptional performance in various tournaments.
• Shot Put (District-Level):
• Secured the top position in an inter-school competition, showcasing exceptional strength.
• Advanced to the district level, achieving a notable third place.
• College Leadership:
• Orchestrated an innovative grassroots movement, utilizing cutting-edge digital marketing tactics to engage and mobilize over 1,000 students, resulting in a resounding triumph in the post-pandemic College Cultural Secretary election.