Resume
Education
May 2023
Adelphi University - Master's Degree in Business Analytics
I recently graduated with a Master's degree in Machine Learning from a renowned institution. During my program, I developed a strong foundation in Python, forecasting, statistical modeling, predictive modeling, data mining, data cleaning, and developing machine learning algorithms.
Mar 2019
Mumbai University - Bachelor's Degree in Information Technology
I completed my Bachelor's degree in Computer Science with a focus on software development. During my program, I gained a solid understanding of programming languages like C, C++, JavaScript, HTML, CSS, Big Data, SQL, Raspberry Pi, Java, Python, and software development lifecycle.
Internships
Jun 2024 - Present
AI Prompt Engineer
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AI Coach - Teaching AI models to understand and generate high-quality code.
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Assessment and Evaluation - Reviewing and assessing the quality of AI-generated code.
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Peer Review - Evaluating and reviewing the work of other advanced coders.
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Content Creation - Crafting original responses to prompts to help train and improve AI models.​
Jul 2023 - Present
Digital Marketing Intern
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Content Creation and Management: Assist in creating and scheduling engaging content for social media platforms, blogs, and email campaigns to enhance brand visibility and engagement.
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Performance Analysis: Monitor and analyze digital marketing campaign metrics using tools like Google Analytics to provide insights and recommendations for optimizing future campaigns.
Aug 2022 - May 2023
Organizacion Corona - Machine Learning Engineer
The initiative focused on the extraction of customer feedback from prominent retail platforms such as Lowe’s and Home Depot within the American market. This endeavor involved employing Natural Language Processing (NLP) techniques to systematically analyze sentiments concerning Corona's products. The resultant insights derived from this NLP project furnished the management with valuable information, enabling them to discern pivotal product attributes, identify areas of customer satisfaction or dissatisfaction, and implement strategic modifications to enhance overall business performance for the organization.
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Programmed Python code to extract URLs from various sources, applied text pre-processing to identify trending topics. Developed, and implemented a bag-of-words approach for feature extraction, resulting in a 15% improvement in accuracy for sentiment analysis on a large dataset of customer reviews. Analyzed 2690 reviews in total.
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Employed Exploratory Data Analysis (EDA) for better understanding of the dataset, cleaned and organized dataset using pandas. Performed context & sentiment analysis using libraries like NLTK, TextBlob and PyTorch.
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Utilized TF-IDF and word embeddings to create custom features tailored to specific client needs, resulting in an average 20% increase in model performance for various Natural Language Processing (NLP) tasks.
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Used Tableau to showcase generated N-grams, presenting key findings to clients in an interactive and visually appealing manner.
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Developed comprehensive project documentation outlining methodology, findings, and recommendations for stakeholders, resulting in increased confidence in the project's impact potential.
Aug 2022 - May 2023
Adelphi University - Data Analyst
The project entailed the development of a comprehensive and informative Graduate Outcomes Report, designed to elucidate the career trajectories of our university's graduates. This report serves as a strategic tool, offering valuable insights to key stakeholders, including university admissions, thereby facilitating informed decision-making based on the career outcomes of our alumni.
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Cleaned and organized imbalanced data from the Graduate Outcomes Survey using Python and its libraries like Pandas, resulting in a 95% reduction in data errors.
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Engaged with key stakeholders, such as university administrators, faculty members, and department heads, to understand their specific data needs and requirements for the Outcomes Report.
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Proposed new ideas to reduce time consumed to fill the survey form, improving the number of responses to the survey by 20%.
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Facilitated feedback sessions with stakeholders to review preliminary versions of the Outcomes Report and gather their input. Then presented the initial findings, Tableau charts, and analysis to the stakeholders, allowing them to provide feedback and suggest any necessary modifications or additions.
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Drafted an Outcomes Report with a comprehensive analysis of career outcomes for graduates.
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Designed visually appealing charts using Tableau to showcase key findings, improving audience understanding by 40%.
Aug 2022 - May 2023
Fragrancenet - Pricing Strategist/Data Analyst
The project necessitated a thorough analysis aimed at assessing the price sensitivity of each product within Fragrancenet's portfolio. This entailed an exhaustive examination of historical sales data, customer behavioral patterns, and prevailing market trends. Through rigorous business analysis and interpretation, actionable recommendations were formulated and communicated to stakeholders, facilitating well-informed decision-making pertaining to pricing strategies.
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Utilizing statistics and data analytics approaches to determine how changes in pricing impact sales performance and customer demand.
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Conducted quantitative research in Python on historical sales data, customer behavior, and market trends to determine price sensitivity and its impact on local markets.
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Applied knowledge on balancing data collected from various sources, using methods like random oversampling and SMOTE.
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Collaborated with cross-functional teams to develop and improve pricing strategies, resulting in increased sales performance and customer demand.
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Contributed creative ideas and solutions to address market challenges and improve pricing strategies.
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Utilizing statistical techniques and modeling approaches to determine how changes in pricing impact sales performance and customer demand.
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Design and execute experiments, perform regression analysis, and apply quantitative methods to quantify the relationship between price and sales lift.
Jan 2019 -
Nov 2021
Veefin - Functional Software Tester
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Developed comprehensive test scenarios and test cases to cover various functionalities and user interactions in mobile and web applications.
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Conducted thorough manual testing on mobile applications, ensuring proper functionality, usability, and adherence to design guidelines.
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Collaborated with the development team to reproduce reported bugs and errors, providing detailed steps and information for effective troubleshooting and resolution.
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Utilized various mobile devices, operating systems, and web browsers to ensure cross-platform compatibility and consistent user experience.
