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Data Scientist with 2+ years in Data Analytics & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Knowledgeable in statistics, data analysis, database querying, data visualization, NLP, LLMs, predictive modeling, and machine learning algorithms through diverse projects. Proficient in data analytics tools such as R, Python, SQL, Power BI & Tableau to solve problems with innovation and a vision to find insights through certifications. Industrious, proactive, gained the ability to analyze, articulate and work independently to deliver high-quality results through the IT startup experience.
Dublin Business School
MSc · Data Analytics
September 1, 2019 – August 1, 2020
PESIT, Bangalore
B.E · Telecommunication
August 1, 2013 – June 1, 2017
Omdena
Machine Learning Engineer Volunteer
August 1, 2022 – November 1, 2022
India
SeamlessCARE, Dublin
Data Scientist
March 1, 2021 – May 1, 2022
Dublin, County Dublin, Ireland
EOAnalytics, Dublin
Data Science Intern
September 1, 2020 – February 1, 2021
Dublin, County Dublin, Ireland
Analysing Car Reviews
June 1, 2026 – Present
Used pre-trained LLMs to create a chatbot app for solving language tasks such as classification, question-answering, summarization, translation, and evaluated model performance through various metrics.
Premier League Table
June 1, 2026 – Present
Built Premier League Table dashboard visualization for the 2019-20 season using Power BI for splitting, reshaping, sorting, appending, calculating and grouping the data to gain insights about the Premier League.
Stock Prices Forecast
June 1, 2026 – Present
Designed and deployed an end-to-end stock price forecasting system using XGBoost algorithm and Flask API, including feature engineering with technical indicators.
Sentiment Analysis of Google Play Store app reviews (Dissertation)
August 1, 2020 – August 1, 2020
Created sentiment classification models by implementing the text vectorization method TF-IDF in Python to classify the Google Play Store reviews as positive, neutral and negative after checking the model performance through metrics evaluation.
Intro to SQL for Data Science Course
Unknown
June 1, 2026 – Present
Introduction to ChatGPT
Unknown
June 1, 2026 – Present
Introduction to Docker
Unknown
June 1, 2026 – Present
Getting started with JIRA
JIRA
June 1, 2026 – Present
Introduction to Git
Unknown
June 1, 2026 – Present
Introduction to Microsoft Copilot
Microsoft
June 1, 2026 – Present
Building AI Agents with Google ADK
June 1, 2026 – Present
Data Science Prodegree
Unknown
June 1, 2026 – Present
Introduction to Power BI
Unknown
June 1, 2026 – Present
Data Analyst in R Track
Unknown
June 1, 2026 – Present
Introduction to Cloud Data with Microsoft Azure
Microsoft Azure
June 1, 2026 – Present
Understanding Prompt Engineering
Unknown
June 1, 2026 – Present
Time Series Analysis in SQL Server
Unknown
June 1, 2026 – Present
Multi-Modal Systems with the OpenAI API
OpenAI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including academic, personal, and volunteer work, demonstrates initiative and a continuous learning mindset. The experience at SeamlessCARE as a Data Scientist and Omdena as a Machine Learning Engineer Volunteer aligns well with the target role. The breadth of skills and certifications indicates a proactive approach to skill development, which is a positive cultural fit for dynamic tech environments. However, the relatively short tenure in full-time roles might warrant further inquiry into career stability.
Soft Skills & Operational Fit
The candidate highlights organizational, time management, cross-functional teamwork, problem-solving, presentation, and communication skills. These are crucial for a senior data scientist role, especially in collaborating with cross-functional teams, presenting insights, and managing project timelines. The experience at SeamlessCARE and Omdena suggests an ability to work in team settings and contribute to project goals.