Responsible for ensuring metric accuracy, product and data engineering methodology, code compliance and feature updatesIntegral to developing and testing new product features, along with creating test cases for client use and internal testingWorked with TV viewing and customer outcome data from disparate sources Created relevant lookalike customer profiles based on TV tuning to enhance customer conversionResponsible for milestone product features such as customer weights, new data sources and data pipelines Implemented data monitoring processes, code and design standardsCreated product and data methodology knowledge base which was used by the Executive team as well as the Product, Sales and Engineering teams

Analyze data and ensure quality and consistency of data stored in multiple databases with datasets consisting of 200 MM rows and several dimensionsResponsible for validating weekly, monthly and quarterly reports many of which are reported to the NYSE and used by the executive leadership team on a daily basisProvide key insights responsible for driving growth of key service offerings, new product and service launches and track Net Promoter Scores for the sameValidate and analyze call center customer behavior data to track and enhance customer experience as well as help improve call center and service personnel efficiencyAnalysis conducted using SQL, Alteryx and Python with automated scripts written in the same, along with tools such as Google BigQuery, MicroStrategy and TableauDay-to-day includes communicating with organization-wide stakeholders for understanding data and metric level requirements, communicating usability, and gathering and implementing feedbackConsulting with a telecommunications client on contract

Spearheaded various SEM as well as linguistics offerings as part of the Search and Linguistics teamConducted keyword analysis and informed bid strategiesHelped with SEO optimization and website designWorked on Natural Language Processing techniques for helping clients unearth unique industry and customer insights, helping define product strategy and manage customer experience and retention as well as inform cross-channel campaign initiativesUsed Machine Learning techniques, including Deep Learning and Neural Networks in Python via packages such as Tensorflow, NLTK, SpaCy, Vader, and PandasDevised unique methods of visualizing and conveying the story through dataCreated unique ways of gathering, cleaning, parsing and transforming structured and unstructured dataWorked in several new business pitch initiatives having to deliver under tight deadlines and coordinate with multiple teamsLead the mentorship initiative internally and created a matching algorithm based on Naive Bayes classification which matched pairs of mentors and mentees based on a 14 question survey

We use data science and statistics to help clients make better decisionsMy experience includes working with clients from retail, healthcare, marketing, and the smartphone app industry among othersInvolved in projects such as customer classification, price sensitivity analysis, revenue drivers analysis and search query classification to name a fewProficient with exploratory techniques such as Exploratory Factor Analysis, Correspondence Analysis, Cluster Analysis, anomaly detection and group comparison techniquesBuilt predictive and prescriptive models using linear, logistic, step-wise regression models, often requiring transformations while accounting for time series effects and inconstant variancesI bring my knowledge of frequentist and Beysian statistics, cross industry experience, and open mindedness to every projectRegularly build complex functions in R for transferring insights and automationEvery project usually begins with a question, but first, we help our clients define the question. Then we search for the answers with the help of the data, the unique insights that we bring in, and the invaluable help from our clientsThe unsaid part of our everyday work at 5-Elements is the team work that goes on in helping each other troubleshoot code, resolve conceptual knots, form better bonds with stakeholders, and in practicing explaining insights in a way that someone without a data science or industry background can understand and relate withWe emphasize the delivery and expression of our insights, because that is where the rubber meets the road. Our discussions often culminate into research articles and blog postsImplemented extensive SEO techniques for sister website, Famadillo.com.

An initiative by OpenLink, aimed at educating young minds at using technology in the modern business environment.I teach databases and spreadsheets to 7th and 8th grade sections, using Raspberry Pi's. I am responsible for the students' curriculums, and teach them with easy and relatable examples, and fun group activities. The whole class worked as if it were a startup, where students were divided in groups, and had to consult each other's teams for projects. It cultivated accountability and camaraderie ship. The students presented issues that they faced, and were made to research about how companies have tackled such issues and how they can implement the same solutions in their activities. The highlight of our semester-long efforts would be in the form of the students being able to write full length SQL queries and put together their own databases in LibreOffice.Those from the spreadsheets class were trained in using complex Excel functions such as V Lookups, If Statements, Pivot Tables, basic mathematical calculations, conditional formatting, charts and visualizations. The students are responsible for their Raspberry Pi's, which need more tending to, than our everyday computers. (Raspberry Pi's are inexpensive card board sized computers running a Unix distribution)Apart from the technical learning, this is going to help them be more responsible as they grow up (because not everybody gets to use a Macbook, an iPad, and an iPhone as their primary, secondary and tertiary office).The class is oriented towards not only educating them about technology, but also about working in groups and being responsible towards their goals and about skills that they would need as individuals in our ever expanding universe.

As part of the Hofstra Information Technology Association (Graduate level), we worked on a project for Open Link financial.- Our aim was to find out Action Drivers that were responsible for the client's Net Promoter Score- This was the first instance that we had to deal with realize data, which had several undulations and anomalies. We learnt that one of the biggest part of a job in data science would be data preparation.It was a very exciting project, which helped us gain a nice life experience about data analytics and its application. It was the first non academic project that required us to apply what we had learnt in our courses. Our client were happy with our work and so were we.

The Hofstra Business Consulting group is one of the oldest and the most prestigious graduate level student organizations. It follows a stringent selection process and rewards its members in the forms of highly engaging projects. Our faculty advisor, Dr. James Neelankavil, who has been at Hofstra for almost two decades uses his expertise and knowledge to get external clients, and in assisting member consultants, who're usually inexperienced but highly motivated.This semester, I am working with Vassel Designs on the launch of a Lacrosse product.I am working as part of a two member team, and we are work on the market research, competitor analysis, supplier and logistic information.Since I co-found a sports goods export company in Mumbai, I am applying that insight towards advising my client, and ensuring my best performance.We are benefiting our friendship with the Hofstra Men's Lacrosse team and using their valuable feedback in ensuring a proper product.

The Hofstra MBA/MS Indian Students Association is one of the largest student organizations at the Zarb school of Business. Our goal is to celebrate the Indian culture on the beautiful campus at Hofstra, with our family of students from all over the world.We celebrate Diwali and Holi, and try to impart the underlying significance of these festivals. We also plan events to welcome new students in the Business Schools, and get them acquainted with the campus and its beautiful occupants. We show them around New York City, take them to Broadway shows, visit Central Park, and then finish each academic year by going to Six Flags!We also invite revered guest speakers from various industries and backgrounds and try to inspire ourselves and our members.We are good friends with the other Graduate Student Organizations, and partner with them on various events which none of us can manage single handedly. We have a semester long trading competition with the Hofstra Investment Banking Association. We welcomed Anthony Dalessio from KPMG, with the Zarb Women in Business and fell in LOVE with him.The Hofstra MBA/MS Indian Students' Association has been very, thanks to forthcoming students and alumni, who graciously spare time from all of their pursuits. If you are a current or a potential student at the Zarb School of Business, I highly recommend you to be part of this student organization to add to you experience at Hofstra.

I played a pivotal role between the Developer team and the Consultant team of the company; it was a very dynamic role, where I catered to internal requests from both the teams.Along with this, I was in charge of maintaining the accuracy of Mashwork's proprietary software, Canvs. Canes is the star product of Mashwork, and performs miracles in the form of deep insights about media products after going thru Tweets.My daily work involved quality assurance and bug tracking of the company's proprietary software, conducting in-depth researches about potential projects.The research that I was last involved in was about a potential industry that helped the company make a foray.I used my learnings from my Simulations and Multivariate Data analysis classes that I had ongoing, in this opportunity, and used my experiences at work back into these classes. It was a great combination, and it couldn't have been better timed.

I worked as a junior associate for the sales team. I was responsible for:- Consulted with the CEO and developed a Reference Architecture for a major client- Authored a white paper about Sales & Operations Planning, an integrated management process- Analyzed and prepared client proposals and statements of works