“As Harshad Jaju’s manager during his internship with the DASSAULT SYSTEMES License Compliance Organization beginning July 2019 and ending December 2019, I assigned his responsibilities and met with him frequently. I was impressed with Harshad’s professionalism, communication skills, initiative and ability to adapt to new challenges and meet deadlines. Harshad quickly became a valued member of the License Compliance team. As our Data Analytic Intern, Harshad assumed a number of responsibilities which extended beyond his initial role. He worked with members of the team on various projects, including operational effiency of our case management system, analysis and valuation of cases, working with Deloitte in the development of reporting requirements for our audit program, and completing numerous special projects. Harshad became very skilled in understanding departmental process and procedures, to such an extent that he became a trainer of new employees. I would highly recommend Harshad for any position. If we had the budget, I would hire him today. I am selfishly hoping that DASSAULT SYSTEMES will be able to find a position that will make use of his skills in the future. Again, I would recommend him without hesitation. ”
About
Activity
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Tackling Scope 3 emissions requires companies to engage with suppliers, distributors, and customers and remains a challenge across…
Tackling Scope 3 emissions requires companies to engage with suppliers, distributors, and customers and remains a challenge across…
Liked by Harshad Jaju
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Are you struggling to make sense of your procurement data? You're not alone. Many procurement teams are drowning in data, but they don't have the…
Are you struggling to make sense of your procurement data? You're not alone. Many procurement teams are drowning in data, but they don't have the…
Liked by Harshad Jaju
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🎉 Excited to share that I've completed my Co-op as a Data Scientist in the Division of Computational Pathology and AI at Mayo Clinic! During my…
🎉 Excited to share that I've completed my Co-op as a Data Scientist in the Division of Computational Pathology and AI at Mayo Clinic! During my…
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Experience & Education
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Licenses & Certifications
Courses
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Advanced Database Management Systems
INFO7275
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Application Engineering and Development
INFO5100
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Big Data Engineering with Scala Functional Programming
CSYE7200
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Data Science engineering methods and tools with Machine Learning
INFO6105
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Data Structures
CSE205
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Data Warehouse and Business Intelligence
INFO7370
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Java Programming
CSE406
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Object Oriented Programming
CSE202
Projects
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Bitcoin Data Persistence & Price Prediction
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Technology: Scala, Spark, Zeppelin, Kafka, MySQL
• Used Bitstamp rest API to fetch cryptocurrency exchange data (USD/BTC) and stored in Spark Parquet format
• Developed Kafka streaming for real time data collection and used it in Zeppelin for visualization with spark SQL query
• Built ARIMA machine learning model using SparkML to forecast Bitcoin price for the next 15 days based on persisted data -
Amazon Product Recommender & Sentiment Analysis
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Technology: Python, NumPy, Pandas, Matplotlib
• Build a machine learning model on Amazon’s products data to perform product recommendation and user sentiment analysis
• Performed data preparation, data cleaning using TF-IDF & WordCloud vectorization to train the model effectively
• Implemented KNN algorithm for product recommendation and Logistic Regression & Naïve Bayes for sentiment analysis -
Retail e-commerce Data Warehouse & BI
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Technology: Oracle, PostgreSQL, Talend, Tableau, Power BI
• Designed dimensions & measures data modeling for data warehouse and developed data integrations using Talend
• Implemented DI control jobs to analyze data processing time, which helped in improving job efficiency by 35%
• Developed dashboard and report in Power BI & Tableau for sales analysis, promotion analysis and reject analysis
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OpenPaymentsData (Healthcare and drug industry financial data)
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Technology: Tableau, MS-Excel, and SQL Server
• Analyzed relationship between large data sets of dimensions and measures for different kind of medical payments
• Generated trend analysis charts on physicians and their payments from manufacturers over date and time
• Published business dashboard of the above data analysis and business oriented reporting using Tableau
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AdventureWorksDW Visualization
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Technology: Tableau, Power BI, Talend, ER Studio, and SQL Server
• Converted relational model into dimensional relationship in ER studio and generated sub models for data analysis
• Created data visualizations in Tableau and Power BI. Performed trend analysis on generated data
• Integrated data from relational database to dimensional database using Talend tool
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E-Commerce Database Management
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Technology: MySQL
• Modeled entity relationship architecture and implemented forward and reverse engineering feature
• Applied normalization over tables to avoid anomalies and to keep data well organized
• Implemented triggers, sub-routines, indexes and views for optimized database and better data results
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Global Vaccination Solutions
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Technology: Java, db4o
• Developed swing application to analyze infant mortality data and supply vaccination and doctor needs globally
• Incorporated email API for user interaction, JFreeChart library for pictorial representation of mortality data
• Followed enterprise object model design with singleton object approach and used db4o for data persistence
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InfoVore - An Android mobile app
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It was my undergraduate final year project. We build this project with a team of 5 people. It was an Android mobile application that features news feeds and articles from all over the globe. All this informations was being parsed and fetched from over 30 websites and their various APIs & RSS feeds and then put together inside the application pages based on its category like Sports, Politics, Fashion etc. Apart from the news updates the app also had additional features like weather forecast…
It was my undergraduate final year project. We build this project with a team of 5 people. It was an Android mobile application that features news feeds and articles from all over the globe. All this informations was being parsed and fetched from over 30 websites and their various APIs & RSS feeds and then put together inside the application pages based on its category like Sports, Politics, Fashion etc. Apart from the news updates the app also had additional features like weather forecast, astrology and sharing news content to your Facebook account.
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A big thank you to CFMIP and WIRC of ICAI for organizing an insightful panel discussion on the theme “From Investor Protection to Value Creation”. It…
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🚀 Exciting News! 🚀 I'm thrilled to share that I've been recognized as a LinkedIn Top Voice in Machine Learning! 🎉 This milestone reflects my…
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🚀 Thrilled to Share a Milestone! 🚀 I am incredibly honored to announce that I have been recognized as a LinkedIn Top Voice in Data Science!…
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Hello all, 🔬 Thrilled to embark on a new journey as a Computational Pathology and AI Intern at Mayo Clinic's Department of Laboratory Medicine and…
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🏍️ Embracing the Journey Ahead! 🌍 Today I embark upon a 7 day thrilling motorcycle non-stop journey through the scenic vistas of the Balkans…
🏍️ Embracing the Journey Ahead! 🌍 Today I embark upon a 7 day thrilling motorcycle non-stop journey through the scenic vistas of the Balkans…
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Our #LPUFamily witnessed the delightful Inaugural Ceremony of "Incredible 8", LPU's thrilling inter-hostel competition where Vertos will display…
Our #LPUFamily witnessed the delightful Inaugural Ceremony of "Incredible 8", LPU's thrilling inter-hostel competition where Vertos will display…
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