RUPENDRA LEKKALA

Houston, TX +1-346-***-**** ad0qdx@r.postjobfree.com LinkedIn

SUMMARY

Aspiring Data Science graduate to lead the way in Machine Learning and Artificial Intelligence excellence. I specialize in Data Analytics, Data Engineering, Machine Learning and Data Science seeking full time opportunity and graduating by May 2024. EDUCATION

Master’s Engineering Data Science GPA: 3.2/4 Houston, TX University Of Houston, Main Campus May 2024

Bachelor of Technology in Electronics & Communications CGPA: 3.2/4 Tamil Nadu, India SRM University May 2018

WORK EXPERIENCE

Senior Product Development Engineer New Delhi, INDIA Idemia February 2019 – July 2022

● Collaborated with customers to drive business requirements gathering, elicit requirements, feasibility studies, perform Gap Analysis Program, convert requirements into actionable technical documentation.

● Delivered 100 million SIM cards profiles over NORAM, LATAM, APAC, APAC INDIA & MEA regions with high-quality as per standards satisfying customer requirements.

● Developed customer-centric SIM OS and conducted rigorous testing on the Python-based scripting language.

● Managed execution of 5G projects for clients in telecom industry to meet clients' specific requirements increased sales by 20% in 2nd quarter.

● Handled multiple simultaneous deployment projects against strict deadlines and applied quality-improvement methodologies to day-to-day processes as a result delivery of projects before a deadline.

● Pioneered a technique maximizes alpha card reuse by performing multiple operating system overwrites as a result minimized usage of alpha card as a result reduced a cost of million cards of 10k euros. UNIVERSITY PROJECTS

Frequency Distribution Of Corpus Text Data September 2023

● Applied a methodology includes Staging, Text preprocessing, Word Tokenization, Stop Word Removal helps in transforming raw text data into a format can be easily analyzed by machines.

● Analysis is performed using Python programming language along with packages imported likewise NLTK Library, Pandas, OS, glob, Matplotlib, Seaborn etc.

● Deployed text data with top-k frequency format and strictly executed with n-gram values from entire corpus files and saved stop-words data in a separate file.

Hand Posture Recognition December 2022

● Designed and implemented posture recognition via classification with motion capture hand postures dataset in a 5- person team, employing various ML models such as Logistics Regression, Decision Tree, Random Forest, KNN, SVM with Linear kernel, K-Means Clustering, and Ensemble.

● Implemented various dimensional reduction techniques, including PCA and Self-Organizing Maps (SOM), to reduce low- correlation features.

● Compared all models, “Random Forest” is best model with an accuracy of 99% dimensionality reduction. Cardio Good Fitness - Descriptive Statistics November 2022

● Applied descriptive statistics utilizing Pandas, Seaborn, NumPy, and Matplotlib libraries on "cardio good fitness" data, revealing a typical customer for each treadmill product offered by Cardio Good Fitness.

● Generated individual customer profiles for each tread-mill product line by developing a relevant tables, graphs, and computation of numerical measures.

CERTIFICATIONS AND SKILLS

● Certifications & Training: Supervised Machine Learning: Regression and Classification(link), Microsoft SQL camp 2021(Udemy), Microsoft Power BI Desktop for Business Intelligence (Udemy)

● Programming Languages: Python (Pandas, Matplotlib, Seaborn, NumPy), SQL, R, ML(Scikit-Learn)

● Visualization, ETL and Analytical tools: Tableau, Power BI, R studio, Statistical, SAS, Tableau

● Machine Learning: Linear Regression, Logistic Regression, Decision Tree, Gradient Descent, SVM, KNN, PCA,SOM, Clustering, K-Means, Neural Networks

● Other Skills: MySQL, MS SQL Server, Advanced Excel, Predictive Modeling, Salesforce.

Contact this candidate