Data Scientist

Data Scientist
ID : 1467
Education level  : Master's degree
Work experience level  : Intermediate- (2-4 year experience)
Work experience in total  : Years
Job type  : Online
Job time  : Maandelijks
Last date of registration :
Profile description

I have a growing interest in the recent trends of statistics applied to different branches of science specially in healthcare and analytics domain.  At the present clock, my fascination for data scienceand machine learning grabbed my urge to explore the convergence of both statistics and programming. I want to hold an industrial position cum researcher that will allow me to make innovative contributions in statistics and mathematics.Actively seeking job opportunities in areas involving Business Analytics, Risk Analytics, Market Analytics & Research, Data Analytics,Data Science and Statistical Modeling

Work experience In details :
Job position
Job description

Data Scientist - ChiStats Labs Pvt. Ltd., Pune - (September 2022 - present)

  • Worked on a project named “Quansent” that involve forecasting Nifty future price
  • Worked on creation of new business forecasting models, identified and analyzed market trends, and conducted professional research
  • Used Data rolling to perform analysis on five minutes forecast
  • Interpreted data, analyzed results using statistical techniques and provide ongoing reports
  • Created pipeline in Python to generate reports and results for multiple datasets at a time
  • Built Datasets (Reports) in Python environment from Attributes and Variables
  • Dealt with high volatile and unstable time series data, purely dominated by irregularities only
  • Transformed the time series problem into classification problem to improve the directional accuracy of the close forecasted points
  • Played a major role in increasing the model accuracy
  • Extensively used Python libraries and Excel Analytics to analyse and build models
  • Used different machine learning algorithms and hyperparameter tuning to reduce the error between actual close LTP and forecasted close LTP
  • Proactively participated in weekly team meetings with managers, presented results to them and assisted in business decision making

Subject Matter expert (for Statistics & Probability) - Chegg, India - (October 2020 - May 2022)

  • It is part time job opportunity. Role was to solve problems on Statistics and Mathematics regularly.

Data Science Intern - Innomatics Research Labs, Hyderabad -(October 2021 - December 2022)

  • The WFH Internship helps me to brush up my skills on Data Cleaning, Data Segmentation, Data Visualization using Python. This internship gave exposure to Machine Learning and helped me understand the concepts of Machine Learning Algorithms..

Data Analyst Intern - Virtual Internship at ANZ@Forage, Bangalore - (January 2022)

  • In this Virtual Internship Program, I learnt Data Quality Assessment, late Data Insights and Presentation which helped me brush up my concepts and apply on real world financial data. In the beginning part there was some basic tasks of data analysis like Data Cleaning, Data Visualization in Python and finally building couple of predictive models.
Hard skills
  • Technical Skills
    • Python (Numpy, Pandas, Sci-kit learn, Matplotlib,
      Seaborn, etc.)
    • R
    • SQL
    • MS-Excel (H Lookup, V
      Lookup, Pivot Table, Statistical Analysis, etc.)
    • Minitab
    • Power BI
  • Functional Skills
    • Data Analysis
    • Regression Analysis
    • Time Series
    • Statistical Modelling
    • Data Preprocessing
    • Machine Learning
    • Text Mining
    • NLP
Soft skills
  • Teamwork
  • Quick Learner
  • Flexibility Time
  • Management
  • Punctual
  • Organized

Training and Certifications

  • Python for Data Analysis - Udemy  (August 2022)
  •  Introduction to SQL - DataCamp  (January 2022)
  •  Introduction to MS-Excel - Simplilearn  (May 2022)
Special notes

Python (Numpy, Pandas, Sci-kit learn, Matplotlib, Seaborn), R, SQL, MS-Excel (H Lookup, VLookup, Pivot Table, Statistical Analysis), Minitab, Power BI, Data Analysis, Regression Analysis, Time Series, Statistical Modelling, Data Preprocessing, Machine Learning, Text Mining, NLP

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