Manideep Reddy

Data Scientist at RELIANCE CORPORATE IT PARK LIMITED
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Contact Information
us****@****om
(386) 825-5501
Location
Bangalore Urban district, Karnataka, India, IN
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Credentials

  • https://www.linkedin.com/profile/add?
    NxtWave
    Oct, 2021
    - Oct, 2024
  • Machine Learning with Python
    Coursera
    Aug, 2020
    - Oct, 2024
  • Machine Learning with Python
    Coursera Course Certificates
    Aug, 2020
    - Oct, 2024

Experience

  • RELIANCE CORPORATE IT PARK LIMITED
    • India
    • Chemical Manufacturing
    • 300 - 400 Employee
    • Data Scientist
      • Nov 2017 - Present

      1iRisk Audit and Inspection Category Reclassification using NLP:Problem statement: Evaluate the possibility of observations into different categories, classify the observational data using category definition Business Benefits: Achieve better categorization of observations / smaller bucket of issues in one-observation / reducing the system at risk / product at risk. Technologies: NLP, Python, Hugging face Transformer’s, BERT, ALBERT, XLNET, Anomaly detection, Qlik sense2.NLP Knowledge discovery (Text Analysis and Insights on Sales Rep Survey): Problem statement: To get the insights from YOF response data to understand the diversity of responses across various countries/roles, key actionable sentiments & themes. Approach: Language Translation to English, Descriptive analytics, Context based mining of each questions using Topic modelling, Context/Semantic based sentiment analysis using BERT. Technologies: Python, Topic Modelling LDA, LDA2VEC, NMF, BERT, Sankey diagram, Bokeh, Plotly visualization 3Customer Segmentation and revenue prediction:Segmented the customers based on the usage, profiling, revenue using Clustering and launched offers basis on the business requirement, Data modeling on various techniques using CART, Random forest, Classification techniques and customer retention using Cross-sell techniques 4.Churn analytics:Objective: Built predictive models via Logistic Regression, SVM & Random Forests to identify high risk customers and identify churn customer. Key Achievement: Designed the logreg model with AUC score of 0.88, Sensitivity 0.8, Specificity 0.83 & Accuracy 0.82

  • Bharti Airtel Ltd
    • Data Analyst
      • Feb 2015 - Feb 2017

      • Analysing fiber outages and releasing areas of improvement.• M.W link outage analysis and Improvement plan• Validation and analysis on Energy related issues of the operators.• Responsible for Operations database in KK circle with details.• Coordinating with team members for better Network improvement.• Publish the Trackers area wise KPI / Uptime reports on weekly, monthly basis.• Coordinating with Filed persons to clear the Issues for avoiding Outages early.• Managing the other daily activities coordinating with Central team for weekly and monthly reports.• Managing the Infra details in Airtel sites to improvement of down time of the site.• Preparing presentations monthly, weekly and fortnightly

Education

  • Anna University Chennai
    Bachelor of Engineering - BE, Electronics and Communication Engineering
    2003 - 2007
  • Sri Nagabhairava Junior College
    10+2, Mathematis, Physics, Chemistry
    -
  • Sri Aravinda Vidyalayam
    S.S.C(10th), 86.6
    -

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