Software Engineer Data
Resume:
**************@*****.***
Telangana, IN
https://www.github.com/bharath43
https://www.linkedin.com/in/bharath-
reddy-208b1053
KURUKUNDU B.REDDY
Software Engineer & Certified Data Science Specialist SUMMARY
6 months of experience Software
Engineer and
Certified Data Science Professional
highly skilled in R & Python
programming. Proficient in
deploying complex machine
learning and statistical modeling
algorithms/techniques for
identifying patterns and extracting
valuable insights for key
stakeholders and organizational
leadership.
TECHNICAL SKILLS
KEY SKILLS
• Data Analysis • Database
Management • Strategy
• Process Improvement • Team
Leadership • Data Visualization •
Predictive Modelling & Analytics •
Sentiment Analysis
CERTIFICATIONS
EDUCATION
Dhruva College of Management
Post Graduate Diploma In Management Telangana, IN
Jul '17 May '19
7.0/10 GPA
Major: HRM & Minor: Business Analytics
Narsimha Reddy Engineering College
Bachelors in Computer Science Engineering Telangana, IN Jun '11 Jun '15
61%
Sri Chaitanya Junior Kalasala
Board of Intermediate Telangana, IN
Apr '09 Apr '11
83%
Railway Mixed High School
SSC Telangana, IN
Jun '08 Apr '09
76%
ADDITIONAL INFORMATION
PROFESSIONAL EXPERIENCE
Capgemini
Software Engineer Telangana, IN
Apr '16 Nov '16
Cable & Wireless Communication specializes in delivering solutions to client in Caribbean Islands and some parts of USA like Florida in the telecom industry for over 10,00,000 customers Technology Stack: JIRA, MS-Excel and Liberate
Packages: Packages SciKit-Learn, NumPy,
SciPy, Plot.ly, Pandas, NLTK,
Matplotlib, StatsModels
Deep Learning: CNN, RNN,
LSTM, FFNN, Auto-Encoders,
GAN, TensorFlow & Keras
Statistics/ML: ML Linear/Logistic
Regression, SVM, Ensemble
Trees, Random Forests,
Clustering, Gradient Boosted
trees, KNN, Naive Bayes, K-
Means Clustering
NLP: Regex, Text data features
with TF-IDF, Topic modelling,
Sentiment Analysis
Visualization Tools: Tableau,
SPSS
Database: SQL
Certified Data Science & AI
Specialist Edvancer
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Languages: Languages Telugu, Hindi and English
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KEY DATA SCIENCE
PROJECTS
Project: Banking
Project: Customer Complaint
Resolution
Project: Quora Spam Detection
Eduventures Mar '19 - Sep '19 Customer Support
Certified 'NLP with Python for
Machine Learning Expert' Expert
NASBA ‘Sep ‘19’
Objective: To predict which
customer subscribe to term
deposit and who are not
Tech Stack: R
Solution: Deployed logistic
regression model to predict if a
customer subscribes to term
deposit or not using R
Key Achievement: Achieved an
accuracy of 84% using KS
method
Objective: To Predict whether a
customer will dispute with the
conclusion for a complaint
Tech Stack: Python
Solution: Data had a mix of text
and non-text features.Created
TF-IDF features for text data and
combined them back to apply
ML models. SVM though slow
but performed much better in
comparison to other tree based
models like Random Forrest &
GBM
Key Achievement: Applied TF-
IDF vectorization with SVM
model and achieved an AUC
score of 75%
Objective: Predict whether a
given question is spam or not
Tech Stack: TensorFlow
Solution: Tried LSTM with
locally trained embedding
which did not give great results
and took a long time to
train.Glove embedding greatly
improved the
performance,using batch norm
and dropout on the final layer
Key Achievement: Achieved an
AUC score of 91% by deploying
Long Short Term Memory
model
Taking ownership of customer issues reported and seeing problems through to resolution and roughly handled around 50 issues per week Following standard procedures for proper escalation of unresolved issues to the appropriate internal teams like provisional, liberate and billing teams Researching, diagnosing, troubleshooting, and identifying solutions to resolve telecom related issues
Used JIRA and liberate to resolve the issues and Excel to generate reports Report to managers and team members regarding number of tickets logged and closed in a particular day
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