ARNAV DESHWAL
Data Enthusiast | Traveler | Guitarist | Foodie | Conceptual Creative | Storyteller
TECHNICAL SKILLS
Analytical Techniques
Languages
Tools
Data Mining
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Data Visualization
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A/B Testing
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Machine Learning
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Statistical Modelling
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Time Series Forecasting
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Natural Language Processing
Python
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R
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SQL
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PySpark
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C
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C++
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VBA
Databricks
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SAS
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Git
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Tableau
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Hadoop
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Anaconda
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Advanced Excel
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Projects
MY LATEST WORK
Classifying speech to emotion is challenging because of its subjective nature. This is easy to observe since this task can be challenging for humans, let alone machines. Potential applications for classifying speech to emotion are numerous, including but not exclusive to, call centers, AI assistants, counseling, and veracity tests.
Customer Profiling, targeting and product recommendations are essential to an e-commerce company's success. What are the different customer segments and how their behavior patterns differ from each other, which segments to target to maximize profitability are important questions that need to answered.
Companies these days are trying extremely hard to attract customers by providing specific recommendations to users. Genres are an important part of understanding the likes/dislikes of the users of a music streaming platform.
EDUCATION & Experience
2019-2020
UT AUSTIN
MS in Business Analytics
Advanced Predictive Modeling, Marketing Analytics, Decision Analysis, Database Management, Financial Management, Learning Structures & Time Series, Stochastic Optimization & Control, Text Analysis
2019
Reliance Industries Limited
Data Science Intern
Reduced manual query-time by 96% for server file-logs, built a smart document classification system based on content similarity
Built an automated earnings-call transcript summarization tool for the treasury team, reduced turn-around time by 70%
2017
PricewaterhouseCoopers
Business Analyst Intern
Developed an automated reporting tool which summarized and categorized more than 20k+ user concerns weekly for cross-functional teams, reduced the ticket resolution time by 60%
2015
Manipal University
B.Tech Computer Science & Engineering
Coursework Included: Design & Analysis of Algorithms, Machine Learning, Object Oriented Programming, Information Retrieval
The best customer retention tactics enable the seller to create lasting relationships with consumers who will become loyal to their brand.
For every business, to start investing in a unique and different strategy is time-consuming and demands a high amount of resources. So, understanding why CLV is crucial for the survival and growth of the business is really important
Due to the multidimensional nature of the financial data, the scale of the system, and inherent variation with time, it has been an overwhelmingly tough challenge for humans to solve, even with the assistance of conventional data analytics tools. With recent developments in forecasting including Facebook's Prophet model or Amazon's DeepAR these issues have been addressed to some extent.
CONTACT
Please reach out to me if you want to collaborate on a project or discuss new opportunities at your firm.
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Tel: 1-737-402-0492
