Antara Andulkar

• Designed and automated an ETL pipeline to maintain data integrity while saving 10 hours per week of manual reporting and reducing data processing time by 10%.

• Assisted 100+ students weekly and reviewed 200+ applicant profiles daily in Slate, while demonstrating strong interpersonal and communication skills and actively fostering collaboration and mentoring.

• Processed and resolved 150+ daily inquiries, enhancing communication flow and reducing response time by 20%

• Analyzed key performance indicators (KPIs) using Power BI to identify target market, which led to a 15% reduction in ad spend and a 12% increase in conversion rates within 2 months while supported the launch of new hybrid centers nationwide.

• Built out the data and reporting infrastructure from the ground up using PowerBI, Excel, and SQL to provide real-time insights reducing reporting time by 20%, enabling the team to make faster, data-driven decisions for campaign optimization.

• Conducted detailed cost-benefit analysis to evaluate the financial viability of new trading strategies and educational programs, helping optimize resource allocation and increasing overall efficiency in the company’s stock market training initiatives

• Conducted data wrangling, cleaning, and Exploratory Data Analysis (EDA) on 25+ datasets to maintain data integrity, accuracy, and reliability, meticulously removing outliers.

• Designed and Implemented Machine learning models (Time Series Models, Linear Regression) using python to to analyze student scores based on study hours, predicting that 9.25 hours of study would yield a score of 93.69%