Summary
Overview
Work History
Education
Projects
Technical Skills
Hi, I’m

SAMHITHA REDDY ANNEM

Manchester,NH
SAMHITHA REDDY ANNEM

Summary

A highly analytical and results-driven professional with expertise in transforming complex data into actionable strategic insights. Proven ability to structure ambiguous business problems, leverage advanced analytics, and communicate findings to drive measurable improvements and inform critical decisions. Proficient in a robust toolkit including Python, SQL, Power BI, and Snowflake, with a strong track record of stakeholder communication, data-driven problem-solving, and delivering significant business outcomes.

Overview

4
years of professional experience

Work History

UNH Professional Development & Training (PDT)
Durham, NH

Data & Insights Analyst
09.2024 - 05.2025

Job overview

  • Designed and implemented interactive dashboards in Power BI to monitor student registration, engagement, and course withdrawals, providing actionable insights to guide strategic outreach and retention initiatives.
  • Conducted in-depth analysis of program effectiveness and learner behavior to identify key success factors and areas for improvement, directly informing the optimization of workshop scheduling, content development, and certificate pathways.
  • Developed and automated weekly reporting processes using SQL and Power BI to deliver clear, data-driven insights to leadership teams, enhancing stakeholder alignment and facilitating evidence-based decision-making.
  • Collaborated with cross-functional teams to evaluate departmental needs, streamline workflows, and maximize overall productivity.
  • Established and monitored key performance indicators (KPIs) to track project progress, assess outcomes, and ensure alignment with strategic objectives.

UNH Center for Business Analytics
Durham, NH

Business Data Analyst
08.2023 - 05.2024

Job overview

  • Led the analysis of dispute trends to identify pricing inefficiencies, providing data-driven recommendations that resulted in $900K in potential savings across three client organizations.
  • Improved resource planning accuracy by 10% by developing and implementing regression models for demand forecasting across four functional teams, optimizing resource allocation and operational efficiency.
  • Designed and implemented automated data pipelines in Snowflake and Airflow to streamline incentive program analytics and HR KPI monitoring, enhancing data accessibility and reporting accuracy.
  • Developed and deployed machine learning-based churn prediction models, integrated into BI tools, which contributed to a 17% increase in customer retention through targeted outreach strategies.
  • Designed and presented executive-level dashboards in Power BI and Tableau to the COO and leadership team, providing critical insights that facilitated data-driven operational decision-making.
  • Leveraged machine learning, natural language processing, and statistical analysis techniques to develop predictive models and derive actionable insights from complex datasets.
  • Provided strategic recommendations based on in-depth data analysis, contributing to the formulation of standards and strategies across functional areas.
  • Collaborated with and influenced stakeholders across various teams to drive operational improvements and achieve key business objectives.

SSR Degree College (Acharya Nagarjuna University)
Guntur, India

Business Analyst (Financial Ops)
12.2022 - 07.2023

Job overview

  • Led the development and execution of multi-department budget plans, achieving a 15% year-over-year cost reduction through optimized resource allocation and financial analysis.
  • Developed and presented financial forecast models and variance analysis tools to provide data-driven insights that informed key leadership decisions.
  • Collaborated with registrar and finance teams to analyze and resolve over 1,000 student payment issues, streamlining processes and improving student satisfaction.
  • Managed end-to-end projects, serving as the primary liaison between stakeholders and internal teams to ensure clear communication, alignment on goals, and timely delivery of results.
  • Analyzed and validated detailed functional specifications to ensure accuracy and alignment with business requirements.
  • Generated comprehensive reports summarizing business and financial data, providing key stakeholders with actionable insights for strategic planning.

Amazon
Chennai, India

ML Data Associate (Alexa Devices)
05.2022 - 11.2022

Job overview

  • Enhanced quality assurance (QA) workflows for data annotation and refined training data pipelines, contributing to a 30% improvement in natural language processing (NLP) model accuracy for Alexa Echo Show.
  • Developed and implemented Python scripts to automate validation processes, reducing QA cycle time by 34% and accelerating product release cycles.
  • Collaborated with machine learning scientists to improve entity recognition models, directly enhancing the accuracy and reliability of voice command functionality.
  • Managed projects focused on data capture, storage, and forecast analysis, ensuring timely delivery and alignment with business objectives.
  • Coordinated and executed comprehensive data management projects, ensuring data consistency, accuracy, and reliability for downstream analysis and model training.

Lido Learning
Bangalore, India

Business Development Analyst
04.2021 - 04.2022

Job overview

  • Developed a topic modeling framework to analyze over 10,000 student queries, enabling the design of personalized content recommendations and enhancing learner engagement.
  • Designed and implemented ETL processes using SSIS to integrate data from over 100,000 student records, creating a centralized data repository for comprehensive learning behavior analysis.
  • Developed interactive Tableau dashboards to monitor student learning behaviors and identify early disengagement risks, providing actionable insights for proactive intervention strategies.
  • Conducted in-depth data analysis to prepare forecasts and identify emerging trends in student engagement and learning outcomes, informing strategic decisions on curriculum development and program optimization.
  • Delivered data-driven solutions and strategic recommendations to stakeholders, facilitating informed decision-making and driving improvements in learner outcomes

Education

University of New Hampshire
Durham, NH

Master of Science from Business Analytics
05.2025

University Overview

  • Relevant Coursework: ML, Data Science, NLP, BI, SQL Analytics, Forecasting, Strategic Decision-Making
  • Activities: Graduate Ambassador, AI Strategy Panelist
  • Tools: Python, Tableau, Power BI, SQL, Snowflake, AWS, GCP
  • GPA: 3.57

Amrita School of Engineering
Bangalore, India

Bachelor of Technology from Computer Science
04.2021

University Overview

  • Projects: COVID-19 Dashboard, Sentiment Analyzer, E-Commerce Purchase Pattern Explorer
  • Activities: IEEE Chapter, GDSC, Hackathons, Tech Fests
  • Explored data analytics through self-initiated Python and SQL projects

Projects

Retail Forecast Optimization (Business Simulation): Built customer churn classifier and embedded insights in dashboard for targeting.

Airbnb Booking Prediction: Classification model using XGBoost; engineered location & amenity features, achieved 85% accuracy.
Healthcare NPS Optimization: SQL + R analysis to improve NPS and reduce wait time.
LLM-Powered Reporting Assistant (Capstone): GPT-powered reporting assistant, cut 60% of manual reporting.
Drop-Off Risk Model for Students: Logistic regression model to flag at-risk students, informed outreach.

Technical Skills

Technologies
Python, SQL, R, Power BI, Tableau, Excel, Jupyter Notebook, Git, GitHub, Visual Studio Code
Scikit-learn, PyTorch, NLTK, Pandas, NumPy, Matplotlib, Seaborn
Snowflake, Apache Airflow, Databricks, AWS (Redshift, S3, EC2, Lambda, DynamoDB, QuickSight)
GCP (BigQuery, GCS, Google Analytics), MySQL, PostgreSQL, MongoDB
Looker, Alteryx, Talend, Microsoft Office

Techniques
A/B Testing, Regression Analysis, Classification, Clustering (K-Means, Hierarchical)
Time Series Forecasting (ARIMA, Prophet), Predictive Modeling, Churn Prediction, Sentiment Analysis
EDA, Feature Engineering, NLP, Hypothesis Testing, Dimensionality Reduction (PCA, t-SNE)
KPI Modeling, Scorecard Development, Model Evaluation & Tuning, Statistical Sampling, Trend Analysis

Processes
Business Requirement Gathering, BRD/UAT Documentation, Agile & Scrum, Stakeholder Communication
Data Storytelling, Cross-functional Collaboration, Strategic Planning Support, Problem Structuring
Sprint Planning, Root Cause Analysis, Metrics Definition, Data-Driven Decision Making

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