Yash Dharsandia
Certified Data Scientist
• As being a Data Scientist, I am seeking a role which allows me to continue learning and perfecting my skills as I provide high quality work and encourages me to flourish as an employee.
• To work in environment which encourages to succeed and grow professionally where I can utilize my skills and knowledge appropriately.
• Well versed with predictive modelling, data processing, and data mining algorithms to solve challenging business problems.
• Involved in Python open source community and passionate about brining machine learning, deep reinforcement learning to Business. Experience
July ’19 -
Present
Data ScienceConsultant
DataMites, Bangalore.
• Hands on training in Machine Learning Algorithms for creating Live Model and solve different Business Problems.
• Hands on training in Tableau for creating Dashboards. Academics
Mar ’19
Bachelors of Computer Application (BCA)
Bhakt Kavi Narsinh Mehta University, Gujarat.
Mar ’13
HSC (12th)
GSHSEB, Gujarat.
Certifications and Awards
Aug ’19
Certified Data Scientist
International Association of Business Analytics (IABAC) Nov ’18
iPhone Development Workshop
Marwadi University, Gujarat.
Events and Conferences
Jan ’18
Organized a trip to Lonavala and Goa
Gurukul, Junagadh, Gujarat
Jan ’18
Aug ’17
Attended GLOBAL PATIDAR BUSINESS SUMMIT
Gandhinagar, Gujarat
Organised Event of Ethical Hacking
Gurukul, Junagadh, Gujarat
Personal Information
adbae7@r.postjobfree.com
Phone
Address
2nd Phase, J.P.Nagar, Marenahalli Road,
Bangalore.
Technical Skills
Python, Numpy, Pandas, Sklearn
Advanced
Data Visualization, Tableau, Matplotlib
Advanced
Machine Learning Modeling
Advanced
Statistics
Expert
Deep Learning, CNN
Intermediate
MS Office 2019
Advanced
Soft Skills
Problem Solving, Critical
Thinking
Expert
Creative and Interpersonal Skills
Expert
Interests
Travelling and exploring.
Candid & Street Photography.
Social Media Person.
Languages
English
Expert
Hindi
Expert
Gujarati
Expert
Projects Annexure
July ’19 Project : House Price Prediction
Project Description: In this ML project using Linear Regression Algorithm we can Predict the House price in any particular city. Sep ’19
Project :Telecom Churn rate calculation
Project Description: It was all about to classify the customer who migrates to other telecom companies and finding their Churn rate and defining clear business problem, modelling ML – algorithm XGBOOST, Logistic Regression, Random Forest, SVM, model evaluation and deployment.
Oct ’19
(ongoing)
Project : Inventory Forecasting
Project Description: The project goal is to predict quantity of the spare parts per year using Time series Forecasting and also by using ABC XYZ analysis.