Adithya Malladi

Adithya Malladi

Data Science Grad @ UMass | Analytics & Data Science Professional | AI Enthusiast

Hi! I'm Adithya, currently a data science graduate student at UMass Dartmouth, previously i worked as a data analyst for 2 years in e-commerce & B2B Saas industries, proficient in SQL, python and tableau, Expertise in business intelligence tools, data storytelling & visualization, building AI models to drive innovation.

Work Experience

Graduate Student Assistant-Admissions

UMass Dartmouth | North Dartmouth,Massachusetts | 02/2025 - present

MS Excel Data Cleaning & Validations
  • Performed data cleaning and validation checks for 20k+ universities records to maintain data consistency across the campus admissions systems.

Data Analyst

Airmeet | Remote, India | 09/2022 - 09/2023

HubSpot CRM Snowflake SQL Machine Learning Tableau Storytelling & Visualization
  • Conducted root cause analysis on historical sales data to identify trends in lost business deals, leading to strategic improvements in business acquisition by reducing lost deals share from 38% to 23%.
  • Built customers churn prediction model using decision tree classifier to identify recurring customers with lower retention rate, refined retention strategies from the classifier, improving retention rate by 8%.
  • Created 25+ business reports by leveraging hubspot & sql focusing on sales and marketing analytics, generating key business insights for the 4 leadership teams supporting their ad-hoc requests and decisions making.

Data Analyst

PharmEasy | Bangalore, India | 01/2022 - 06/2022

SQL Python Microstrategy Reporting Apache Airflow AWS Services(S3, Redshift) Hive
  • Created customers purchase analysis across 6+ GMV ranges using advanced sql to analyze 1M+ transactions. uncovered key insights enabling targeted marketing strategies that improved inventory turnover by 20%.
  • Automated ETL workflows using apache airflow to integrate private label products data between redshift and hive, reducing manual processing time by 40% and ensuring cross-platform data consistency.
  • Refined 5+ microstrategy dashboards that empowered business teams to analyze competitor pricing trends in real-time, leading to informed decision-making and optimizing Private Label product pricing by 15%.

Technical Skills

Programming

Advanced SQL Python R Core Java & OOPs UNIX Commands

Business Intelligence

Tableau PowerBI Advanced MS Excel HubSpot CRM Micro Strategy

Artificial Intelligence

Machine Learning NLP Deep Learning LangChain Prompt Engineering Statistical Analysis & Modelling

Other Technical Skills

Matlab AWS Cloud Web Development Stack - HTML, CSS, Javascript, PHP Android Application Development - Java & Android Studio UI & UX Design - Figma

Professional Certifications

Google Advanced Data Analytics Kaggle Advanced SQL

Academics

Master's Degree in Data Science

University of Massachusetts Dartmouth

09/2023 - 05/2025 | CGPA: 3.96/4.0

Relevant Coursework: Business Analytics & Data Mining, Big Data Analytics, Advanced Machine Learning, Artificial Intelligence, Statistics , High Performance Scientific Computing.

Bachelor's Degree in Computer Science

VIT AP University, India

09/2018 - 09/2022 | CGPA: 3.45/4.0

Relevant Coursework: Core Java, Data Structures & Algorithms, Web Technologies, Software Engineering, Cloud Computing, Android App Development.

Academic Projects

AI Assistant for Data Analysis

Streamlit Prompt Engineering Python LangChain
  • Developed an streamlit-based AI assistant for data analysis using LangChain and OpenAI GPT-4o model, allowing users to extract insights from data through natural conversational queries, enhancing dynamic visualizations.

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Clustering Analysis on Pharmaceutical Data

R Clustering
  • Implemented hierarchical and k-means clustering analysis on 21 pharmaceutical companies using 9 key financial indicators.

  • Applied data normalization and optimization techniques to identify three distinct company clusters (high, mid, and low performers), revealing strategic groupings based on market capitalization, profitability, and leverage metrics.

Zillow Housing Data Analytics

Python Tableau AWS Services(S3,EC2,Redshift DB) Apache Airflow
  • Automated ETL pipeline for zillow housing data using AWS services (S3, Lambda, Redshift) and apache airflow from data extraction to data warehouse storage.

  • Developed interactive tableau dashboard to visualize and analyze housing market trends from processed data.

Flight Fare Prediction

Python Machine Learning Web Scraping
  • Extracted data from the real-time flight booking website called Kayak by utilizing BeautifulSoup and selenium WebDriver using python script.

  • Built & trained random forest classification model in scikit-learn to predict flight fares with an accuracy of 87%.

Testimonials

I would recommend Adithya Prahasith for his exceptional contributions as a Data Analyst in our Analytics team at Airmeet. He demonstrated an exceptional understanding of Sales, Account Management Expansion & Retention Analytics etc. and was instrumental in identifying key trends and driving revenue growth. He is a proactive problem solver, delivering actionable insights and collaborating seamlessly with the team. I found him quick to learn new concepts, hard working and extremely committed. He will be an asset to any organization he gets associated with.

Sahil Raka

Director of Analytics, Airmeet.

Adithya is amazing with his Data Skills. He has a great Business understanding and has the ability to solve problems by understanding them deeply. He has helped Airmeet to scale to high level with his proactive Analysis and he is a great team person.Amazing person to work with.

Gaurav Chawla

Analytics Lead, Airmeet.

Let's Connect!