A N J A L I    G E D A M

D A T A    A N A L Y S T

P R O F I L E

Hello! I am Anjali Gedam, a passionate and detail-driven Data Scientist and Software Developer with a background in data analytics, machine learning, and full-stack development. Recently completed my post graduation in Master’s in Data Science at the University of Glasgow, I combine technical expertise with a creative problem-solving mindset to build impactful, data-driven solutions.

With hands-on experience in Python, SQL, Power BI, Tableau, AWS, and TensorFlow, I have worked on projects ranging from predictive modeling and generative AI to web development and information retrieval systems. My industry experience includes roles in data analytics, AI evaluation, and backend automation, where I contributed to real-world business insights and efficiency gains.

Beyond academic and professional work, I have volunteered with Humari Pehchan NGO, served as a regional-level athlete, and led sports and cultural teams—bringing a unique blend of discipline, leadership, and creativity to everything I do.

I’m passionate about ethical AI, scalable data systems, and leveraging technology for positive change. Whether it is solving complex data problems or designing user-friendly applications, I aim to create solutions that are both meaningful and efficient.

Anjali Gedam

S K I L L S

Programming Languages

Python, R, SQL, NoSQL, C, C++, HTML, CSS

Data Analysis

Pandas, NumPy

Data Visualization

Matplotlib, Seaborn, Plotly

Machine Learning

Scikit-learn, XGBoost

Deep Learning

TensorFlow, Keras, PyTorch

NLP

spaCy, NLTK, Hugging Face

BI Tools

Power BI, Tableau, Looker, Excel, Google Data Studio

Cloud & Big Data

AWS, Azure, Snowflake

Databases

MySQL, PostgreSQL

MLOps

Airflow, MLflow

Information Retrieval

BM25, ElasticSearch, PyTerrier

Professional Skills

Teamwork, API Integration, Software Development

E X P E R I E N C E

McDonald’s, Glasgow, United Kingdom

Customer Care Assistant (Onsite, Part-time) Sep 2024 – Present
  • Delivered customer service by maintaining a clean, welcoming environment to support satisfaction and repeat visits.
  • Supported stock management and replenishment to keep service areas operational during peak hours.
  • Engaged with customers, resolved enquiries promptly, and upheld brand standards.

Anishree Technologies LLP, India

Data Analyst (Remote, Part-time) Nov 2023 – Present
  • Designed and implemented interactive reports and performance monitoring systems using Power BI, Excel, and Python, enabling leadership to make data-driven decisions based on real-time insights into sales, inventory, and market trends.
  • Automated business-critical processes—such as employee time tracking, report generation, and incentive calculation—through Python scripting and email bots, increasing team efficiency by over 40% and significantly reducing manual intervention.
  • Built time series forecasting models to predict goods pricing trends, empowering procurement teams to optimize stock purchasing decisions and improve overall financial outcomes.
  • Delivered 20+ customized reports and analytical tools using Python, SQL, and Snowflake; collaborated in Agile teams to streamline ETL pipelines, integrate automated workflows with CI/CD practices, and support leadership with actionable insights on performance, logistics, and sales KPIs.

Excelerate, United States

Project Head Intern (Remote, Internship) Aug 2023 – Oct 2023
  • Led and guided a team of interns by clarifying tasks, resolving issues, and providing actionable solutions.
  • Organized regular meetings, monitored progress, and ensured smooth execution through proactive support.
  • Reported updates and risks to senior management, addressed queries, and resolved complications promptly.

SSIT Pvt. Ltd., India

Data Analyst (Onsite, Full-time) Jul 2022 – Aug 2023
  • Designed and delivered over 20 dynamic reports using Power BI, Excel, and Python to help leadership track daily, monthly, quarterly, and annual sales and inventory trends, supporting informed strategic planning and resource optimization.
  • Led in-depth analysis of course sales, user engagement, and feedback data using SQL, Excel, and Python, which enabled timely event promotions, resulting in a 20% increase in sales and a 25% improvement in participant satisfaction.
  • Conducted detailed ROI analysis on marketing initiatives—including code camps, webinars, and email campaigns—using Power BI, Pandas, and Python, identifying high-performing channels that increased conversion rates and improved marketing spend efficiency.
  • Collaborated cross-functionally to translate complex datasets into actionable business intelligence, aligning marketing, sales, and content strategy with company goals and enhancing leadership’s ability to make data-driven decisions.

Saint Louis University, United States

Data Visualization Intern (Remote, Internship) Jun 2023 – Jul 2023
  • Collaborated in a diverse, international team to deliver a data visualization project aligned with business objectives.
  • Analyzed marketing campaign performance using KPIs and ROI, recommending closures, optimizations, and next steps.
  • Built dashboards and presented findings with Looker and PowerPoint, ensuring clarity and stakeholder impact.

SSIT Pvt. Ltd., India

Web Development Intern (Onsite, Internship) Jul 2021 – Sep 2021
  • Developed responsive websites and portfolios using HTML, CSS, and Bootstrap in real-world projects.
  • Translated client requirements into functional designs aligned with scope and timelines.
  • Delivered customized web solutions through iterative feedback and collaboration.

E D U C A T I O N

Master of Science in Data Science

University of Glasgow, United Kingdom

Sep 2023 – Sep 2024

Relevant Coursework: Data Analysis, Deep Learning, Machine Learning, Natural Language Processing (NLP), Generative AI, Information Visualization, Big Data, Information Retrieval, Software Development, Web Science, Human-Centered Security, Artificial Intelligence, Python, SQL, Web Scraping, Research Skills

Bachelor of Technology in Information Technology

Nagpur University, India

Aug 2018 – Jul 2022

Relevant Coursework: Database Management System (DBMS), C, C++, SQL, Core Java, Python, MATLAB, Unix, Linux, Shell Scripting, Object-Oriented Programming (OOP), Object-Oriented Modelling (OOM), Web Development, Data Structures, Algorithm Design & Development, Artificial Intelligence (AI), Machine Learning (ML), Ethical Computing, Networking, Computer Architecture, Physics, Mathematics (Statistics, Probability, Calculus, Algebra), Civil Engineering Basics, Electrical Engineering Basics, Chemistry

High School

Kendriya Vidyalaya, India

May 2018

Relevant Coursework: English, Hindi, Mathematics, Chemistry, Physics, Sanskrit, Social Science, Computer Science, SQL, Networking, Biology

C E R T I F I C A T I O N S

Relevant Coursework: Python, Data Science, Machine Learning, Deep Learning, Keras, TensorFlow, SQL, R Programming, Tableau, Capstone Project, Mathematics, Statistics, Algebra, Probability

P R O J E C T S

Online Book & Magazine Management Systems

HTML, CSS, JavaScript, PHP, Bootstrap

Developed user login, PDF downloads, and admin panels for digital library platforms.

Secure Data Deduplication Platform

Python

File deduplication system with hashing & encryption for secure, efficient storage.

FairRank – Fairness-Aware Re-Ranking

PyTerrier, Python, ELECTRA, BM25

Re-ranked search results on TREC dataset to enhance fairness.

Big Data Text Search Engine

Apache Spark, Java

Built scalable text ranking engine using Spark DPH models.

Histopathological Image Clustering

ResNet50, PathologyGAN, PCA, UMAP

Cancer image clustering with K-Means, GMM, Louvain, silhouette score.

EEG-Based Neuropathic Pain Prediction

SVM, KNN, PCA

Used EEG features with ML and regularization for pain detection.

Data Visualization with Altair

Python, Altair

Built dashboards on US Accidents data with filters and metrics.

COVID-19 Time Series Forecasting

Python, Facebook Prophet

Forecasted COVID trends with Prophet and visualizations.

Protein Secondary Structure Prediction

PyTorch, FCN, Captum

Built interpretable FCN with PSSM inputs and Ray Tune optimization.

Geo-Spatial Twitter Data Analysis

Python

Geo-tagged tweet classification using spatial bins and ML models.

ShareBike EV Rental Management

Python (Tkinter), SQLite

Built EV rental desktop app with login, fare calculation and booking features.

Thermal & Shoulder Surfing Attack Study

Python(matplotlib), Research

Studied mobile security threats using thermal imagery and observational analysis.