Nimit Jain

Greetings! I'm Nimit Jain, a dynamic and results-driven data analyst specializing in the exciting realm of business analytics. With a Master's degree in Business Analytics and CEMS Master's in International Management from Esade Business & Law School, I am well-equipped to harness the power of data to drive strategic insights and shape successful business decisions.

My journey in the world of data analysis has been a thrilling adventure. Armed with my trusty Python, R, and SQL skills, I've delved into complex datasets and emerged with remarkable findings. From conducting sentiment analysis to building cutting-edge machine learning models, I've tackled diverse projects that have sharpened my analytical prowess.

Imagine retrieving millions of rows of data using Twitch API and AWS RDS, then transforming and cleaning it with ninja-like precision. I've even dabbled with spicing up data quality using libraries like Spacy, TextBlob, and Word2Vec. And guess what? I've unearthed intriguing relationships between sentiment and message length, unleashing business decisions that make advertisers jump for joy.

But that's not all! I've also dabbled in the aviation industry, where I soared to new heights as a Data Researcher Analyst at PASSNFLY. Harnessing the power of SQL, Python, and R, I've deciphered hidden patterns and predicted consumer behavior with jaw-dropping accuracy. By mining data like a modern-day gold rusher, I've empowered organizations with competitive insights and expanded their array of tantalizing business options.

When it comes to marketing and distribution, I'm like a data-driven superhero. Armed with Python and Excel, I've conquered the challenges of crafting highly effective strategies, boosting sales by a smashing 8%. And if that's not impressive enough, I've implemented game-changing automation tools, resulting in a remarkable 14% reduction in labor costs. I've even cracked the enigma of the traveling-salesman problem, unlocking transportation efficiency gains that left everyone marveling at my data prowess.

Beyond my technical expertise, I'm a multilingual maestro fluent in English, Hindi, and even have a knack for Spanish. Collaboration is my middle name, and I thrive in diverse teams where innovation and camaraderie take center stage.

But wait, there's more! In my spare time, I've dabbled in predicting Airbnb prices and customer bank churn using state-of-the-art machine learning techniques. I've even donned my coding cape to create APIs and web scraping programs that extract data from the digital realms of LinkedIn and Instagram, fueling my insatiable hunger for knowledge.

As if that's not impressive enough, I'm a master of hypothesis testing, wielding t-tests, Montecarlo simulations, and even the mystical art of multi-arm bandit with ease. And hey, let's not forget my grand finale: implementing an entire churn model within the majestic realm of AWS architecture, utilizing AWS Lambda, API, and S3 to create a dazzling masterpiece.

But it's not all about data and coding for me. I'm deeply committed to making a difference in the world. As a Campus Ambassador, I rallied support and raised a whopping 20,00,000 rupees (~20,000 euros) for small businesses, proving that superheroes do exist outside the world of data.

So, if you're ready to embark on an exhilarating data-driven journey, I'm your go-to partner. Let's unleash the power of analytics, one byte at a time!

I have gained valuable professional experience in the field of data analysis and business analytics. At Stream Hatchet, I conducted sentiment analysis, performed data preprocessing, and built NLP models. Additionally, I contributed to various ETL processes and utilized libraries like Spacy, TextBlob, and Word2Vec to enhance data quality and comprehension. I also conducted hypothesis testing to establish the relationship between sentiment and message length, which led to actionable business decisions for advertisers. Moreover, I built multiple NLP models using algorithms such as Logistic Regression, SVM, and Naïve Bayes, comparing metrics to select the best model. I also developed reporting dashboards in Tableau, Power BI, and Amazon Quicksight to provide clients with interactive and user-friendly access to the models.

During my time at PASSNFLY, I conducted extensive data analysis using SQL, Python, and R. I implemented cloud interfaces in Amazon AWS, resulting in significant cost reduction and increased organizational agility. I also developed machine learning models to predict consumer behavior, expanding viable business options. Additionally, I conducted data mining operations to extract vital information from large datasets, and I improved marketing analysis through custom script automation and quality control measures.

As a Data Analyst at J.A. Marketing, I utilized Python and Excel for sales data analysis and developed effective marketing and pricing strategies, resulting in sales growth. I implemented an automated data-entry tool using SQL and AWS, leading to a reduction in labor costs. I also tackled the traveling-salesman problem, improving transportation efficiency. Furthermore, I built a data and reporting infrastructure using Tableau and SQL to provide real-time insights into key performance indicators.

Throughout these roles, I have demonstrated proficiency in Python, R, SQL, Excel, VBA, and various data analysis tools. I am experienced in conducting A/B testing and have a strong understanding of machine learning concepts. My ability to implement projects within cloud architectures like AWS demonstrates my technical versatility and adaptability.

In summary, my professional experience has equipped me with a robust skill set in data analysis, machine learning, and business analytics. I am confident in leveraging data to drive insights and make informed decisions, and I am eager to contribute my expertise to future endeavors.
 

I pursued my Master of Science in Business Analytics and CEMS Master's in International Management at Esade Business & Law School, Ramon Llull University in Barcelona, Spain. During this program, I gained a solid foundation in business analytics, focusing on leveraging data to drive insights and make informed decisions. As part of my academic journey, I completed a project on Sentiment Analysis, where I developed an NLP model to analyze and interpret sentiments from textual data.

Prior to my master's degree, I completed my Bachelor of Business Administration at G.G.D.S.D. College in Chandigarh, India. This program provided me with a comprehensive understanding of business principles and equipped me with essential skills in areas such as marketing, finance, and management.

I also completed my Matriculation+2 education at Bhavan Vidyalaya in Chandigarh, India. This foundational education laid the groundwork for my future academic pursuits, nurturing my passion for learning and providing me with a strong academic background.

Throughout my academic training, I have continuously enhanced my technical skills and knowledge in data analytics. I have gained expertise in programming languages such as Python and R, as well as databases and tools like PostgreSQL, Excel, and VBA. Additionally, I have gained proficiency in data visualization tools such as Tableau and have developed a strong understanding of statistical concepts and hypothesis testing.

My academic journey has not only provided me with the necessary knowledge and skills but has also fostered critical thinking, problem-solving, and collaborative abilities. I have actively engaged in project work, research, and coursework, allowing me to apply theoretical concepts to real-world scenarios and develop a practical approach to data analysis.

Overall, my academic training has been instrumental in shaping my expertise in business analytics and data-driven decision-making. It has equipped me with a strong foundation and a passion for continuous learning, enabling me to stay abreast of the latest trends and advancements in the field.