Data Machine

Alekhya Akkinepally

www.linkedin.com/in/alekhyaakkinepally www.github.com/akkinepally ******************@*****.*** +(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.

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