LAXMI NAYAK

Jersey City, NJ P: +1-857-***-**** ad352q@r.postjobfree.com

https://www.linkedin.com/in/dhanalaxminayak/ https://github.com/Dhanalaxminayak EDUCATION

UNIVERSITY OF MASSACHUSETTS BOSTON Boston, MA

Master’s in Business Analytics Dec 2023

Major in Big Data.

Cumulative GPA: 3.7/4.0.

Relevant Coursework: Business Intelligence, Data Mining, Project Mgt, Econometric Analysis, Multivariate and Statistical analysis SILICON INSTITUTE OF TECHNOLOGY Odisha, IN

Bachelor of Engineering May 2021

Major in Computer Science.

Cumulative GPA: 3.4/4.0.

Relevant Coursework: Data Analysis, Software Engineering, Operating Systems, Algorithms, Artificial Intelligence TECHNICAL SKILLS

Languages: Python, SQL, C, C++

Interests: Data Warehousing (Data Pipeline), Data Analysis, Data Modeling, ETL development BI DS & ML: Pandas, NumPy, PySpark, Matplotlib, PyTorch Other Technologies: Tableau, SSRS, PowerBI, Hadoop, Rapid Miner, PowerPivot, Scala Cloud Technologies: AWS – S3, Snowflake, Azure

Databases: MySQL, Oracle, Db2, NoSQL, MongoDB, PostgreSQL Agile Tools: Scrum, Kanban board, Jira, Agile Central Soft Skills: Time management, Problem-Solving, Technical documentation, Troubleshooting, R&D WORK EXPERIENCE

Innovit USA Langhorne, PA

Data Analyst Intern Jan 2023 – May 2023

● Leveraged Python for data preprocessing, improving efficiency by 40% and facilitating rapid analysis.

● Utilized SQL to streamline database access, reducing query response times by 30% and enhancing data retrieval.

● Collaborated cross-functionally, employing C and C++ to devise data governance strategies, reducing data-related issues by 25%.

● Demonstrated proficiency in Tableau to create dashboards showcasing key metrics, aiding in data trend analysis.

● Employed AWS services such as S3 for data storage and retrieval, optimizing the data handling process. Mirah Boston, MA

Research Intern Jan 2023 – June 2023

● Utilized Python to preprocess PHQ9 data, improving efficiency by 40%.

● Developed Tableau dashboards showcasing key metrics and performance indicators, leading to a 20% increase in data trend visibility.

● Conducted Exploratory Data Analysis (EDA) on medical data, uncovering hidden patterns and contributing to research efforts.

● Collaborated with the research team to implement machine learning models, achieving a 15% increase in prediction accuracy.

● Demonstrated proficiency in Agile methodologies and tools like Scrum and Jira for project management and collaborative problem-solving. UNIVERSITY PROJECTS

WORLDWIDE MORTALITY ANALYSIS Dec 2023

● Conducted a global study on the correlation between alcohol, and tobacco consumption and mortality across 136 countries.

● Utilized multiple regression analysis on CIA Work Factbook data.

● Analyzed gender impact on mortality and demonstrated a positive correlation between these three factors.

● Contributed to global health insights and suggested policy interventions. SVM-POWERED CREDIT RISK ASSESSMENT Dec 2022

● Engineered a cutting-edge Credit Risk System, powered by SVM’s advanced supervised learning.

● Empowered financial decision-making by categorizing customer credit risk with precision.

● Pioneered in-depth analysis and predictive modelling to assess creditworthiness. STRATEGIC APP ENHANCEMENT ROADMAP THROUGH R-BASED ANALYSIS Aug 2022

● Conducted a comprehensive analysis of Google Play Store apps, employing R to discern critical success factors.

● Crafted a strategic roadmap for app developers to enhance product quality, user experience, and market performance.

● Unearthed pivotal insights to elevate app competitiveness and user satisfaction. INNOVATIVE FACE MASK DETECTION SYSTEM: PIONEERING HEALTH & SAFETY Jan 2021

● Spearheaded the development of a state-of-the-art Face Mask Detection System, leveraging Computer Vision and Deep Learning.

● Revolutionized public safety by remotely identifying individuals wearing face masks and categorizing mask types.

● Applied cutting-edge technology for proactive health measures during a global pandemic. SENTIMENT ANALYSIS OF SOCIAL MEDIA DATA Aug 2020

● Collected real-time social media data (Twitter) related to a smartphone release.

● Applied Natural Language Processing (NLP) techniques to analyze and understand the sentiment expressed in user-generated text data.

● Extracted insights into public sentiment for data-driven decisions and proactive reputation management during the smartphone launch. CERTIFICATIONS

Machine Learning Specialization, Stanford University. Feb 2024 Google Analytics Certification, Google. Mar2023

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