Adarsh Savani

• Analyzed sales, inventory, and pricing data to optimize business operations in the diamond wholesale industry.
• Developed and maintained dashboards and reports by collaborating with cross-functional teams to track key performance indicators (KPIs) for revenue, customer trends, and supplier performance.
• Utilized SQL and Excel to extract, clean, and manipulate large datasets for decision-making.

• Utilized SQL, Python, and Excel to extract, manipulate, and analyze large datasets, generating comprehensive reports that improved decision-making processes by 25%.
• Conducted thorough data validation and cleansing to ensure accuracy and integrity of financial data, identifying and rectifying discrepancies promptly, reducing errors by 30%.
• Collaborated with cross-functional teams to understand business requirements and translate them into actionable insights, contributing to strategic initiatives that increased efficiency by 20%.
• Provided on-demand analysis and visualizations to address specific business questions and support various projects, resulting in 15% improvement in project turnaround time.

• Functioned with a team of 4 people and assisted in developing programs for handling shop inventory and sales
• Interacted with customers for understanding specific needs and provided with tailored experience
• Operated on both front-end (Eclipse Framework) and back-end (java, jsp pages) and linked it to SQL database
• Diagnosed problems and assisted in debugging to help reduce complaints by 40%.

• Twitter Data Analysis | Python March 202
• Acquired Twitter developer account and received President Donald Trump’s Twitter Data from 2017-2018
• Performed PCA on text to show a common scheme, turned out to be Trump’s slogan
• Revealed Trump’s biased nature towards Fox News and distaste for NYT via Sentiment Analysis

Gun Deaths in USA | R, python, PowerPoint December 2022

• Performed Data Visualization to reveal problematic trends on Government Database during 1980-2020
• Quantified gun death rates using Bayesian Inference with respect to reason for gun deaths
• Demonstrated how data could mislead people with respect to race of victims

Prediction Model for a Dataset | Python November 2023

• Won a Kaggle Competition for Airbnb dataset to predict prices
  Engineered predictive analytics using gradient boosting and linear regression model.