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Subramanya Nayak Data Scientist
Summary
  • •6.7 Years of industry experience with 2 years of Experience as a Data Scientist using Statistical Knowledge and ML Algorithms.
  • •Working Experience and knowledge in Data Processing, Data Mining, Predictive Modeling Algorithms Using Python with libraries such as SKlearn,Statsmodel, Numpy, Pandas MatplotLib, Seaborn.
  • •Worked on tools like - Jupyter Notebook, SQL.
  • •Passionate about NLP and Deep Learning.
  • •Have Excellent Communication and team working experience.
Work History
09/2014 – 03/2021Bangalore, India
Advaith Hyundai Pvt Ltd, Data Scientist
  • •Built a classification model to help organization to decide which key parameters to target, resulting in reduce in customer diversion.
  • •Understand the statement of work requirements, problem definition and deliverable required from the clients.
  • •Analysis the large set of data to get insights by applying statistical models.
  • •Making decisions for future by analysing historical data.
  • •Build predictive models using various machine learning techniques to predict the possibility of component failure.
  • •Data cleaning, Manipulation and Feature engineering using python( pandas, numpy) to understand KPI, and data visualization with matplot library, seabon.
  • •Have written SQL queries to manipulate data from tables.
  • •Analytical thinking for translating data into informative reports and visuals.
  • •Responsible for analysing the day to day performance and generating analysis reports for business.
    • Personal Projects
    Uber Demand-Supply Gap Analysis (EDA)

    The aim of analysis is to identify the root cause of the problem (i.e. cancellation and non-availability of cars) and recommend ways to improve the situation.

    Telecom-churn Prediction (Machine learning)

    To reduce customer churn, telecom companies need to predict which customers are at high risk of churn.

    Car price prediction

    Analysis of used car data and built a regression model to predict the used Car Price.

    Skills
    Programming language: Python
    Data visualisation: Tableau
    Packages and Libraries : Numpy, Pandas, Matplotlib, Seaborn, Statsmodel, Sklearn.
    Data base: My SQL
    Machine Learning(structured data) : Adaboost,GradientBoost,XGboost,Decision Tree, Random Forest, Linear Regression, Logistic Regression, K-means clustering, Hierarchical clustering.
    Creative Thinking, Problem Solving, Adaptability.
    Education
    06/2021 – 07/2022Bangalore, India
    07/2011 – 05/2014Karkala, India
    06/2009 – 04/2011karkala
    Sri Mad Bhuvanendra pu college, Pre University College (science)