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Aditya Singhal
Sr. Applied Data Scientist | Tesco | Ex-Mu sigma
About
Aditya Singhal is a highly skilled Decision Scientist with 3 years of experience in driving data-driven digital transformation for Fortune 500 customers. Currently working as a Trainee Decision Scientist at mu sigma, Aditya has a cross-industry and cross-functional experience that enables him to deliver results in various domains. Aditya started his career as a Technical Content Writer at geeksforgeeks, where he honed his skills in technical writing and developed a keen interest in data science. He then worked as an intern at TCS, where he contributed to the IDz operations team in the ION unit of the company. Aditya holds a Bachelor of Technology degree in Computer Science from SRM University, where he graduated in 2019. He also attended St. Peters Senior Sec. School for his secondary education. Aditya has a strong technical background and is proficient in various technologies such as Python, NLP, ML, SQL, Data Warehouse, and Azure. He has also worked as a Research Scientist and a Data Scientist, which has given him a deeper understanding of the data science domain. With a relevant experience of 3.86 years, Aditya has demonstrated his expertise in driving data-driven digital transformation for Fortune 500 customers. He is a self-motivated and result-oriented individual who is always eager to learn and grow. Aditya's passion for data science and his ability to deliver results make him an asset to any organization.
Education
• srm ist chennai
Companies
• tesco
• mu sigma
• geeksforgeeks
• tcs
Experience
4.8 Years
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Experience
Skills
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Algorithms
analytics
Azure
business development
Business Intelligence (BI)
Communication
Critical Thinking
Data Analytics
Data Scientist
Education
Excel
Microsoft Azure
Power BI
Problem solving
Project Management
Python
R
Research
Research Scientist
SQL
test
testing
Time Management
Contact Details
Email (Verified)
sinXXXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXX70Education
srm ist chennai
Bachelor of Technology
2015 - 2019
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