Data Scientist

Education:

Master’s in Data Science
University of Aberdeen, Aberdeen
January 2023 – June 2024

Bachelor’s in Technology, Information Technology (B.Tech)
IEC College of Engineering & Technology, Noida
September 2015 – July 2019

Certifications:
Machine Learning with Python - MITx (Massachusetts Institute of Technology), Python for Data Science - IBM PY0101EN

Location: United Kingdom | Open to relocation
Visa Status: UK Graduate Visa Holder (Eligible for Skilled Worker Sponsorship)
Professional Ethos:
Building ethical AI tools that solve real-world problems—not just models that live in notebooks.
Passionate about leveraging generative AI and predictive analytics to drive sustainability, operational efficiency, and inclusive decision-making.

Beyond the Screen:

Open-Source Contributor: Share Python/LLM tools on GitHub to democratize data science for non-technical teams.

Lifelong Learner: Actively enrolled in MITx courses to stay ahead of AI/ML trends (e.g., reinforcement learning, NLP advancements).

Community Advocate: Volunteer as a Wolfram Mathematica trainer, empowering students and professionals to bridge theory and practice.

#Why Data Science?

Data isn’t just numbers, it’s people, stories, and opportunities to make life simpler.
Whether optimizing care robotics or reducing carbon footprints, I thrive on translating raw data into tools that empower teams and improve lives.

Business Analysis, Project Management, Stakeholder Management, Client Servicing, Consulting, Data Protection, Data Reporting, Process Improvement, Process Mapping, Innovative, Time Management, Teamwork, Collaboration, Adaptability, Market Research, Problem Solving, Tech Savvy, Creative, Communication, Business Rules.

#30% Operational Efficiency Boost
Designed a TensorFlow predictive model for Adobe Systems that improved inventory forecasting accuracy by 30%, enabling data-driven decision-making for a Fortune 500 tech company.

#20% Carbon Footprint Reduction
Spearheaded a Python/LLM-powered sustainability analytics tool at ProfileTree, adopted by stakeholders to cut emissions by 20% in phase one—showcasing AI’s role in scalable environmental solutions.

#Top 5% MITx Certification in Machine Learning
Awarded for exceptional performance in MIT’s rigorous Machine Learning course, mastering advanced concepts in neural networks, regression, and ethical AI deployment.

#AI for Social Good Innovator
Pioneered a GPT/Wolfram Language framework that accelerated dataset processing by 50% and achieved 85% prediction accuracy, later shared as open-source code for community use.

#Cloud Security Excellence
Proactively resolved 15+ critical vulnerabilities in AWS/GCP infrastructure at American Express, ensuring 100% uptime for cloud-based financial operations.

#Community Impact Leader
Recognized by the University of Aberdeen for training 50+ students in Wolfram Mathematica, bridging the gap between academic research and real-world computational problem-solving.

#Streamlit Innovation Award
Developed a user-friendly Streamlit/Flask dashboard that democratized sustainability analytics for non-technical teams, reducing reporting time by 40%.

Immigration & Relocation:

Visa Status: UK Graduate Visa, eligible for Skilled Worker Visa sponsorship.

Relocation: Fully flexible to relocate anywhere.

Language: Fluent in English and Hindi.

Career Aspirations:

Short-Term: To leverage generative AI and LLMs in healthcare/social care tech, creating tools that reduce inequalities (e.g., assistive robotics for digital inclusion).

Long-Term: Lead ethical AI initiatives that bridge technical innovation with sustainability goals, inspired by projects like my 20% carbon-reduction analytics tool at ProfileTree.

Personal Circumstances:

Work-Life Values: Strong advocate for collaborative, mission-driven teams. Open to flexible hours to accommodate project needs or global collaboration.

Religious/Personal Commitments: No constraints affecting work availability, but respectful of inclusive practices (e.g., accommodating cultural/religious holidays if required).

Community & Development:

Volunteering: Regularly contribute to open-source AI projects on GitHub and mentor students in computational tools (Wolfram Mathematica).

Professional Growth: Actively pursuing certifications in NLP and healthcare analytics to align with emerging AI-for-good trends.