CV

Professional Summary

I am a Data Scientist and Machine Learning Specialist with a proven track record of leveraging advanced analytical techniques and innovative methodologies to solve complex business challenges. With a strong foundation in data analysis, machine learning, SQL, and data visualisation, I have consistently driven data-driven insights to optimise workflows and enhance business performance.

My experience includes leading predictive modelling initiatives, championing cross-functional collaborations to deliver actionable solutions, and refining analytical methodologies for improved decision-making. I have successfully executed data preprocessing strategies, integrated APIs for enhanced data accessibility, and enabled real-time analytics to foster responsive and informed decision-making environments.

As an active member of the British Computer Society, AI Camp Community, and various industry networks, I remain committed to continuous learning and professional development. My expertise is recognised through certifications from leading organisations, including JP Morgan, British Airways, Google, AWS, and BCG, demonstrating my capability to meet the demands of fast-evolving data landscapes.

With a passion for uncovering meaningful insights from data and an enthusiasm for cutting-edge technologies, I am dedicated to delivering impactful solutions that drive measurable results.

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Skills

Programming Languages:

Python, C, C++, HTML/CSS

Libraries:

Keras, NumPy, Pandas, PyTorch, Open CV, Scikit-Learn, Streamlit, Flask, TensorFlow, Matplotlib, Seaborn, NLTK

Database:

MySQL, Oracle Apex, Microsoft SQL Server

Data Visualisation:

Tableau, Power BI, Microsoft Excel, Google Sheets

Coding Environments & IDEs:

Google Colab, Jupyter Notebook, Microsoft Visual Studio Code, PyCharm, Anaconda, Sublime Text

Technical Skills:

Data Manipulation & visualisation, Machine Learning & AI, Deep Learning, Statistical Analysis, Database Management, Big Data, Predictive Modelling, API Integration

Soft Skills:

Critical Thinking, Problem Solving, Communication Skills, Teamwork & collaboration, Adaptability & Flexibility, Project Management, Time Management, Attention to detail, Curiosity & Continuous Learning

Work Experience

Data Scientist, Fast Data Scientist

December 2024 - Present

London, UK

Deployed and maintained a Hugging Face-hosted NLP/LLM pipeline used by 20+ researchers, enabling scalable unstructured text analysis on cloud infrastructure
Engineered a molecular entity recognition module using OMOP and SMILES data, increasing drug detection accuracy by 30% in clinical NLP pipelines, involving algorithm design, schema validation, and performance tuning
Reviewed and merged 50+ GitHub pull requests, contributing to code quality and accelerating team delivery velocity by 25%
Validated LLM-generated outputs for schema alignment and consistency, ensuring suitability for downstream analytical use in distributed data workflows

Data Analyst (Student Ambassador), getCredible

February 2024 - January 2025

London, UK

Analysed engagement data from over 500 students, identifying key trends and implementing targeted outreach strategies that drove a 30% increase in app adoption
Led the promotion of app features focused on career growth opportunities, generating over 200 positive student testimonials and enhancing the app’s credibility
Compiled and delivered regular reports on student interactions, utilising quantitative metrics to implement improvements that resulted in a 25% increase in student satisfaction
Developed and shared data-driven content on social media, boosting app visibility and engagement by 40% within the student community
Created regular reports and feedback for continuous improvement

Computer Software & Network Support Manager, Sun Micronet

August 2021 - November 2022

Nashik, India

Led a team of 15 interns in the optimisation of computer systems and networks, achieving a 30% reduction in downtime through the implementation of effective troubleshooting procedures
Established a robust data backup and disaster recovery strategy, ensuring 100% business continuity during system failures and reducing the risk of data loss by 40%
Designed and deployed a streamlined ticketing system, cutting issue resolution time by 25%, significantly improving user satisfaction and optimising team performance
Conducted regular network assessments and performance tuning to enhance operational efficiency and mitigate downtime risks
Provided mentorship and guidance to team members, facilitating their professional growth and skill enhancement

Intern, Sun Micronet

April 2021 - August 2021

Nashik, India

Conducted comprehensive analysis of over 100 hardware and software issues, reducing resolution time by 30% and significantly improving user satisfaction across multiple departments
Enhanced data integrity by analysing and cleansing over 100 system logs and error reports, boosting data accuracy by 30% and streamlining departmental workflows to expedite issue resolution
Immersed in a dynamic environment where I gained invaluable insights into software development and networking
Within 2 months of my internship, I was promoted to Manager level by seeing my development in projects
Maintained comprehensive documentation of software configurations, network topology and support procedures, ensuring transparency and knowledge sharing within the team

Education

2024-2025

Master's in Data Science

Kingston University, London

MSc in Data Science at the Kingston University, London provided an in-depth knowledge of handling, cleaning and showcasing data from both an academic and practitioner's perspective, enabling to address data analytical challenges in critical and creative ways.

Coursework Modules: Machine Learning & AI, Applied Data Programming, Data & Database Management, Data Visualisation

Key Highlights:

- Learned courses tailored to cover major facets of Data Science and its applications in the real world.

- Studied within an internationally diverse cohort of students and developing interpersonal skills.

- Delivered consultancy-based projects to learn the real-life application of data visualisation.

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2020-2023

Bachelor's in Computer Application

BYK College of Commerce, Pune University, India

7.14/10 CGPA with First Division

Coursework Modules: Database Management System (DBMS), Relation Database Management System (RDBMS), Java, Software Testing, Cyber Security

Key Highlights:

- Built foundational understanding of core Programming & Database management.
- Developed time management and teamwork skills by delivering group projects and presentations.

- Represented college team and won the Udaan Penalty shootout Tournament consecutively for 3 years.

Interests

I closely follow new and upcoming technologies, and industry news to keep up with IT trends & insights. Off work, I share my thoughts on data analysis, industry shifts, problem solving strategies, and professional development on LinkedIn.

Since my childhood I was a sports enthusiast. I have played football at various level like inter-college, inter-university and also on inter-zonal level. I also have won many major trophies in other tournaments.

I also have passion in photography and trekking. I have nearly completed my hike throughout all of the city's mountains.