LEKHA VULAVALA

Dallas, TX, USA. +1-469-***-**** ad3zmq@r.postjobfree.com

SUMMARY

Highly motivated and passionate job seeker with strong organizational skills and a strong foundation in Python, Machine learning, AI, and NLP eager to secure entry-level Data analyst/Machine Learning engineer position. Ready to help team achieve company goals.

SKILLS

Python, Machine Learning, Artificial Intelligence, NLP, Microsoft office, Microsoft excel, SQL, R, SAS, Databases, Data Analysis, Data Visualization, Power BI, Data Processing, Problem Solving. EDUCATION

Master of Science in Artificial Intelligence Aug 2023 - Aug 2024 University of the Cumberlands. Kentucky, USA.

Currently completing coursework in Artificial Intelligence learning Deep learning, big data, spark, Hadoop and few statistical concepts with 4.0 GPA.

Bachelor of Technology in Computer Science and Engineering Jun 2017 - Aug 2021 Karunya Institute of Technology and Sciences. Coimbatore, INDIA. EXPERIENCE:

AUTOMATED SMART FILE SEARCH: Jan 2021 - Mar 2021

● Enhanced intern productivity by assisting with project coordination and providing ongoing support.

● Streamlined office processes for improved efficiency and time management through regular organization and filing.

● Developed and updated tracking spreadsheets for process monitoring and reporting.

● Conducted research for projects, leading to well-informed decisions and successful outcomes.

● Generated reports detailing findings and recommendations. PROJECTS:

STOCK PREDICTION AND VISUALIZATION Oct 2022 – Dec 2022

● Engineered a stock prediction and visualization system leveraging machine learning in Python, showcasing a commitment to data-driven decision-making in financial markets.

● Conducted thorough testing using four distinct models: Support Vector Regression (SVR), linear regression, random forest regression, and polynomial regression, to identify the most effective algorithm for accurate predictions by collaboration with team members.

● Collected historical stock data from Yahoo Finance, covering the previous 90 days, and meticulously divided it into training and testing sets to ensure model accuracy and reliability.

● Demonstrated a keen analytical mindset by selecting SVR as the optimal algorithm, achieving the highest testing score of -0.0061, showcasing the ability to make data-driven decisions in a dynamic environment.

● Collaborated with cross-functional teams to integrate the stock prediction system seamlessly into financial applications, ensuring practicality and usability. DATA AND MODEL ANALYTICS USING SAS ENTERPRISE MINER Mar 2022 – May 2022

● Utilized SAS programming language and SAS Enterprise Miner to perform data and model analytics, showcasing a strong analytical skill set in handling complex datasets.

● Developed and analyzed five distinct models, leveraging the capabilities of SAS Enterprise Miner to assess accuracy and effectiveness.

● Employed the Model Comparison node to evaluate and compare the performance of the models, with Gradient Boosting emerging as the highest-scoring model.

● Selected Gradient Boosting as the ultimate model based on superior predictive capabilities, particularly in predicting user completion of bookings using relevant explanatory variables.

● Collaborated effectively with cross-functional teams to integrate the selected model into operational processes, ensuring seamless implementation and practicality. DROWSINESS DETECTION SYSTEM Sep 2021 – Dec 2021

● Spearheaded the design and implementation of a drowsiness detection system using Python, demonstrating a commitment to road safety.

● Developed a classification model that effectively analyzes eye images to identify signs of drowsiness, contributing to the prevention of potential accidents.

● Utilized advanced machine learning techniques, libraries like PyTorch, TensorFlow, and frameworks to train the model, ensuring accuracy and reliability in real-world scenarios.

● Demonstrated proficiency in data collection and preprocessing, playing a pivotal role in enhancing the model's efficiency and precision.

● Collaborated with cross-functional teams to integrate the system seamlessly into existing applications, showcasing strong teamwork and communication skills. CERTIFICATIONS:

● Microsoft certified foundational C# ● Artificial Intelligence

● Machine Learning with Python ● Introduction to RPA

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