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Ashutosh K - SQL developerLD Talent logo

Ashutosh K

The star rating is calculated by averaging the reviews provided by all clients the talent has worked with for a significant amount of time.

If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.

If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.

Other data including reviews from interviews are available on the talents’ profiles but do not influence their star rating, though they do influence their position in the search results.
SENIOR DATA SCIENTIST Preferred Title
$16.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview Vetting Experiences Qualifications
Overview
Basic Summary
Vetting Summary
  • Code Quality 60%
  • Soft Skill Attributes 60%
  • Expertise 2/3
  • Coding Challenges 60%
  • No. of Lifelong Learning Projects 2
  • No. of Coding Challenges Completed 2
  • More details
Interview Scores (4.5/5)
  • Software Engineering Process 5.0/5
  • Technical Breadth 5.0/5
  • Algorithmic Thinking 4.0/5
  • Technical Strength 4.0/5
  • Teamwork 4.0/5
  • Intellectual Merit 5.0/5
Talent's Devices
  • Desktop Windows
  • Phone Android
General
  • Member Since Nov 22, 2020
  • Profile Last Updated Mar 19, 2023
  • Last Activity March 19, 2023, 3:45 p.m. UTC
  • Location India
Profile Summary
Experienced Data Scientist who takes pride in building solutions that translates data points into actionable business insights. Armed with PG in Data Science with IIITB, now eager to apply the same knowledge and analytical skills to real-world business problems apart from the current professional tasks.
Skills
Total Experience: 11 years
  • SQL (4E, 8Y)

    4 experiences, across 8 years
  • OracleDB (1E, 5Y)

    1 experience, across 5 years
  • REST (1E, 5Y)

    1 experience, across 5 years
  • UNIX (1E, 5Y)

    1 experience, across 5 years
  • Java (1E, 5Y)

    1 experience, across 5 years
  • Python (4E, 4Y)

    4 experiences, across 4 years
  • Machine learning (3E, 3Y)

    3 experiences, across 3 years
  • AWS (2E, 2Y)

    2 experiences, across 2 years
  • Hadoop (1E, 2Y)

    1 experience, across 2 years
  • Power BI (1E, 2Y)

    1 experience, across 2 years
  • Data Science (2E, 1Y)

    2 experiences, 1 year
  • Deep learning (1E, 1Y)

    1 experience, 1 year
  • MySQL (1E, 1Y)

    1 experience, 1 year
  • Natural language processing (1E, 1Y)

    1 experience, 1 year
  • Snowflake (1E, 1Y)

    1 experience, 1 year
  • Data Analytics (1E, < 1Y)

    1 experience, less than a year
  • Tableau (1E, < 1Y)

    1 experience, less than a year
Weekly Availability
Timezone Overlap Per Week: 14h PST, 8h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
02 - 10
02 - 05
02 - 05
02 - 05
02 - 05
02 - 05
02 - 10
PST
19 - 03
19 - 22
19 - 22
19 - 22
19 - 22
19 - 22
19 - 03
Vetting
  • Interview Data
  • Agile Development Process
  • Productivity and Responsiveness
  • Teamwork
  • Software Engineering
  • Logical Thinking
  • Technical Strength
  • Intellectual Merit
  • English Communication
  • Documentation
  • System Design
  • Coding Challenges
    60%
  • Algorithms Score
    60%
  • General Score
    60%
  • Easy Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Medium Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Hard Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Expertise
    2/3
  • Design Patterns and Architectures
    2/3
  • Debugging
    2/3
  • Stack Traces
    2/3
  • Testing
    2/3
  • System Administration
    2/3
  • Soft Skill Attributes
    60%
  • Entrepreneurial
    60%
  • Whole Brained
    60%
  • Divergent Thinking / Creativity
    60%
  • Design Ability
    60%
  • Empathy
    60%
  • Project Management Ability
    60%
  • Security
    60%
  • Code Quality
    60%
  • Complex Logic
    60%
  • Models
    60%
  • Controllers
    60%
  • Templates
    60%
  • APIs
    60%
  • Training/Testing Data Models
    60%
  • Code Readability
    60%
  • Ongoing Evaluation
  • Number of Lifelong Learning Project
    2
  • Number of Coding Challenge Completed
    3
  • Lifelong Learning Project 1
  • Lifelong Learning Project 1
  • Coding Challenges 1
  • Coding Challenges 2
  • Coding Challenges 3
Experience
SENIOR DATA SCIENTIST
Employment
Sep 2022 - Present
Thomson Reuters Company
Finance Industry
Project: Data and Analytics Team Projects
  • Natural language processing
  • Python
  • AWS
  • Machine learning
  • SQL
  • Snowflake
  • Worked on different customer support and service-related text analytics use cases to improve customer experience and reduce customer ticket volumes for multiple product verticals.
  • AWS, Natural Language Processing, Machine learning, Python, SQL, Snowflake, and Power BI was used.
DATA SCIENTIST
Employment
Feb 2021 - Sep 2022
Volkswagen Group Solutions India Pvt Ltd Company
Transportation Industry
Project: Advanced Analytics Teams (IXAD) Projects:
  • Python
  • AWS
  • Hadoop
  • Machine learning
  • SQL
  • Power BI
  • Responsible for building end-to-end analytical solutions both on-premise and AWS cloud for a variety of business use cases starting from the proof-of-concept stage to production deployment
  • Building a Predictive Maintenance system using the sensor data of chassis carriers at the production plant using Machine learning, Python, SQL, Hadoop, and Power BI.
Developer
Employment
Apr 2020 - Jul 2020
ascena retail group Company
Retail Industry
Project: Oracle Retail and Advanced Analytics
  • Tableau
  • Python
  • Data Science
  • SQL
  • Data Analytics
  • Developed Time Series forecasting model for predicting the unit’s movement of the inventory in the warehouses and stores in order to achieve inventory optimization, at the different granularity levels
  • Developed new flat file-based interface for Purchase Orders Transmission which led to Reduction in expenses of $4.5 million annually on Price Tickets spends on variable price tickets.
  • Refined and modified Catalog and Price data feed which resulted in $3.5 million LBO Business benefits to Ship and Receive LBO Branded products from DC to LBO stores and vice-versa.
  • All of the solutions in Data Science, Data Analytics are built using Python as main programming language and SQL, Tableau as visualization tool as applicable.
Github Links
  • https://github.com/Ashutosh27ind/TimeSeries-Inventory-Forecasting
Student
Course Project
Mar 2019 - Mar 2020
IIITB Company
Education Industry
Project: Academic Projects
  • Python
  • Data Science
  • Machine learning
  • Deep learning
  • MySQL
  • Worked on 40 plus projects, details are present in GitHub profile
  • NYC Parking Tickets Analysis: PySpark Project
  • Predicting Dow Jones: Deep Learning
  • Gesture Recognition Project: Deep Learning
  • All of the solutions in Data Science, Machine Learning are built using Python as main programming language and MySQL, Tableau as visualization tool as applicable.
Software Engineer
Employment
Aug 2012 - Sep 2017
TESCO Company
Retail Industry
Project: New Buying System
  • Java
  • OracleDB
  • UNIX
  • SQL
  • REST
  • Developed Price, Product Service and Commercial Hierarchy Extract - file based from Merchandising/Pricing to newer system using UNIX, SQL and OracleDB.
  • Learned and Worked on RESTful web-services using Java and Couchbase (NoSQL) for testing of REST endpoints for price, promotion, and clearance and performance tuning using Jmeter.
Qualifications
Education
IIITB
Mar 2019 - Apr 2020
Post Graduate Diploma in Data Science (Data Science)
BVBCET
Aug 2008 - Aug 2012
Bachelor of Engineering (Instrumentation Technology)
Liverpool John Moores University
Mar 2019 - Sep 2021
Master of Science (Data Science)
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