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Video meeting . 15 mins
FREE
Priority DM . 2 days reply
FREE
Video meeting . 30 mins
800
Video meeting . 30 mins
800
Video meeting . 30 mins
800
Priority DM . 2 days reply
FREE
Priority DM . 2 days reply
FREE
Video meeting . 30 mins
800
Popular
Video meeting . 30 mins
800
Video meeting . 60 mins
1,300

About me

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.