Data Scientist
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As a results-driven data science professional, I am deeply committed to solving complex real-world challenges through innovative solutions. With a proven track record of delivering data-driven insights that increase revenue, reduce costs, and optimize efficiency, I continuously strive to enhance my expertise and capabilities in the field of data science.
My passion for continuous learning and development in data science has enabled me to stay ahead of the latest trends and technologies. With strong problem-solving skills, I have demonstrated an unwavering commitment to achieving exceptional results.
𝐂𝐨𝐫𝐞 𝐒𝐤𝐢𝐥𝐥𝐬 💡
→ Data Analysis
→ Data Wrangling
→ Data Visualization
→ Statistics & Probability
→ Predictive Modelling
→ Machine Learning
→ Deep Learning
→ CI/CD Pipeline
𝐓𝐨𝐨𝐥𝐬 🛠️🧰
→ Excel
→ Azure
→ Power BI
→ SQL Server
→ Git
→ Git Action
→ Fast API
→ Docker
→ Flask
→ Simul8
𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 👨💻
→ Python
→ SQL
→ R
→ HTML & CSS
→ Java ScriptAs
Data Analytics & Artificial Intelligence Intern
Intelance - London, England, United Kingdom
𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬
→ Collaborated with a team of 7 individuals to develop in-depth knowledge of the Microsoft Azure platform through hands-on labs and coursework covering Azure basics, data fundamentals, AI fundamentals, and Power BI.
→ Successfully implement Azure-based solutions in data processing, machine learning, and data visualization to fulfil business needs, resulting in improved data processing efficiency and cost savings for the company.
𝐊𝐞𝐲 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬
→ Developed an end-to-end Product ordering app for a company using Power apps deployed using Azure.
→ Created and implemented a power automated flow to support agile methodology by alerting attendees in teams to fill the daily stand-up in OneNote, as a result, saving leads’ time from inspecting and reminding each one individually.
Skills: Pattern Recognition · Microsoft Power BI · Data Science · Microsoft Power Apps · Microsoft Power Automate · Microsoft Dynamics 365 · Microsoft Azure · Microsoft Power Platform · Artificial Intelligence (AI)
Data Scientist cybertheronAI - Chennai, Tamilnadu
𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬
→ Analyse large data sets to spot trends and findings to provide solutions tailored to the business's specific needs.
→ Stay up-to-date with the latest data science techniques, machine learning methodologies, and tools by conducting research, experimenting, and reviewing journal papers, to continuously enhance data science practices and to deliver more accurate and valuable insights.
𝐊𝐞𝐲 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬
→ Reduced data loss by implementing a Python automation script that cleans and validates the huge raw data extracted from the website, and reduced 10K INR per month previously spent on manual cleaning.
→ Deployed a synthetic image generation algorithm that automates Custom Dataset Preparation for Object Detection Training. The algorithm merges object PNGs onto diverse backgrounds and produces augmented images with corresponding labels and annotations. This innovation cut dataset preparation costs by 50K INR per month for the company.
Skills: Docker · Flask · Git · Pattern Recognition · Data Science · Deep Learning · Computer Vision · Artificial Intelligence (AI) · Scikit-Learn · Beautiful Soup · Convolutional Neural Networks (CNN) · OpenCV · Gensim · Web Scraping · Model Development · Keras · Natural Language Processing (NLP) · NLTK · TensorFlow · Machine Learning
MSc in Data science and analytics - Cardiff University
Sep 2021 - Sep 2022
BTech in Information Technology - R.M.D ENGINEERING COLLEGE
Aug 2016 - Sep 2020
