Saksham Tapadia

About Saksham Tapadia

I am Saksham Tapadia, a dynamic data enthusiast and aspiring data scientist with a robust background in engineering, statistics, and machine learning. My passion lies in synthesizing ideas across diverse disciplines, fostering collaboration among teams, and uncovering applications that transcend industries. At Ozibook, a tech startup in Bangalore, I progressed from Trainee to Team Lead, leading remote data analytics projects and driving efficiency within the Data Analytics department. I refined processes, empowered team members, and achieved success using Python and Jupyter Notebook. During a project-based internship at CodSoft, I enhanced my proficiency in Python, machine learning, and big data, contributing to projects such as Titanic Survival Prediction and Credit Card Fraud Detection. I achieved an 80.59% accuracy in Sales Prediction, showcasing my results on GitHub. I am pursuing a Bachelor of Technology in Computer Science and Engineering, specializing in Data Science and Data Analytics, from JECRC University, Jaipur, with a cumulative GPA of 8.35/10. I participated in a hackathon with over 500 participants, securing a spot among the top 10 finalists. My technical skills include Python, R, C++, exploratory data analysis, machine learning, and database management. I am proficient with tools like GitHub, IntelliJ IDEA, VSCode, PyCharm, IDLE (Python), Jupyter Notebook, MySQL, and PowerBI. I have earned applied skill badges from Microsoft related to AI and certifications in Data Science and Data Analytics from Simplilearn and Samatrix.io. Driven by ambition and a commitment to excellence, I approach obstacles with a positive mindset and embrace each opportunity for growth and innovation. Let’s collaborate and explore the myriad possibilities the world of data offers. Reach out, and together, we can orchestrate data-driven magic.

Experience

1. Data Science Intern

   Celebal Technologies

   Jun 2025 — Present

   Applied Python, SQL, and foundational Machine Learning techniques to solve real-world business problems as part of an intensive 8-week internship program.Built a Spam Email Classification Model using natural language processing (NLP) and supervised learning algorithms (e.g, Naive Bayes, Logistic Regression), achieving 95%+ accuracy. Successfully reduced false positives and manual email filtering efforts by approximately 80%.Worked through structured weekly projects and assignments, gaining hands-on experience in data preprocessing, model training, evaluation metrics, and pipeline development.Participated in code reviews, model validation sessions, and team discussions with senior data scientists and mentors to refine project outputs, ensuring alignment with industry standards and business objectives.Collaborated with peers and mentors in a learning-focused environment, enhancing skills in data wrangling, EDA, and model deployment principles.

Education

• Mayoor School Ajmer

  Class 10th - 86.5%

  2016 — 2020

• Urmi School

  Class 12th - 80.2%

  2020 — 2022

• JECRC University

  Bachelor of Technology - BTech

  2022 — 2026