Alekhya Akkinepally
www.linkedin.com/in/alekhyaakkinepally www.github.com/akkinepally ac7zey@r.postjobfree.com +(1-704-***-****
SUMMARY:
Data Science Graduate with 6 years of professional experience in Information Technology.
Proficient in Python, R, Tableau, SQL with the ability to translate data into meaningful insights solving business problems
Expertise in Data Mining, Information Visualization, Machine Learning.
EDUCATION:
Master of Science: Information Technology - Advanced Data and Knowledge Discovery, GPA: 3.9 Jan 2017 - May 2018
University of North Carolina at Charlotte – Charlotte, North Carolina
Bachelor of Engineering: Electronics and Communications Aug 2003 - May 2007
Jawaharlal Nehru Technological University– Hyderabad, India
WORK EXPERIENCE:
Oalva Inc, Overland Park KS. – Data Scientist Aug 2018 – Present
Built a Skim Catcher to identify and prevent ATM skimming using tensor flow.
Tuned the model during training phase by optimizing various hyper-parameters by continuously evaluating metrics.
Researched published papers for best modeling approach and transfer learning techniques and adapted them.
Global Logic, Hyderabad, India. – Quality Analyst Mar 2013 – Dec 2016
As a test analyst my responsibilities included testing the product (Google maps) to ensure it functions properly and meets the
business needs while maintaining a good working relationship with the software developers.
Trained new team members to improve work flow.
Participated in sprint reviews and daily scrum meetings with the whole team.
Global Logic, Hyderabad, India. – GIS Representative Feb 2010 - Mar 2013
Managed all assigned data requests from internal and external sources and perform all metadata as per Google’s regulations.
Studied and examined attributed information wherever needed and enhanced the quality of the maps.
Collected, interpreted and update the Managers on the process performance and critical errors.
Institute for Electronic Governance, Hyderabad, India. –IT Associate Feb 2008 – Feb 2010
Provided students with soft skills such as communication, goal setting, and career assessment training.
Organized, designed training courses and orientation sessions that help students learn necessary job skills.
TECHNICAL SKILLS:
Programming Languages/Tools: Python, R, SQL, Tableau, MS Excel
Statistics/Machine Learning: Regression, Classification, Cluster Analysis, Neural Networks
Libraries (Python): pandas, scikit-learn, numpy, matplotlib, tensorflow, Keras
Database: MySQL
Bug Reporting Tools: Buganizer, JIRA
PROJECTS:
Loan Prediction – Analytics Vidya Hackathon (Supervised Machine Learning) Tools Used: Jupyter Notebook, Python
Performed exploratory data analysis, k-fold cross validation to achieve the most approximate prediction and achieved an
accuracy of 78 percent in predicting Loan status for Dream Housing Company which wanted to automate the loan eligibility
using Support Vector Machine
Pump It Up (Data Mining the water Table) (Data Driven Challenge) Tools Used: R, Tableau
Predicted the operating condition of a water point for each record in the dataset from Taarifa and Tanzania Ministry of
Water using Decision tree and Random Forest Algorithms.
Can Money Buy Political Power Tools Used: R
Built a random forest classifier and neural network classifier on training data set in R. Evaluated the best classifier using ROC
curve and AUC. Used the best classification algorithm to verify the factors influencing the winning candidates.
Cancer Analysis Dashboard Tools Used: Tableau
US cancer data set and generated 4 distinct visualizations in Tableau and developed a Dashboard with interactive views
using Parameters and active filters.
Electronic Medical Database Tools Used: MySQL
Designed a complete database management system for a clinic that can efficiently store, retrieve, manipulate and query
record Entries. Implemented authentication and role-based access control, coded triggers and stored procedures to
maintain integrity and ease of use.
CERTIFICATIONS:
Udemy - Machine Learning A-Z: Hands-On Python & R in Data Science.
Lynda - Building & Deploying deep learning application using TensorFlow.
Lynda - Building Deep Learning application using Keras.