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Daksh Shah Email & Phone Number

Data Scientist | MS in Applied Artificial Intelligence | J&J, Merkle, Prudential | Python, SQL, Tableau, CDP, GCP, Big Query, Google Analytics, SFDC, SFMC, JIRA at Johnson & Johnson
Location: New York City Metropolitan Area, United States 7 work roles 4 schools
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Current company
Johnson & Johnson
Role
Data Scientist | MS in Applied Artificial Intelligence | J&J, Merkle, Prudential | Python, SQL, Tableau, CDP, GCP, Big Query, Google Analytics, SFDC, SFMC, JIRA
Location
New York City Metropolitan Area, United States
Company size
100890 employees

Who is Daksh Shah? Overview

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Daksh Shah is listed as Data Scientist | MS in Applied Artificial Intelligence | J&J, Merkle, Prudential | Python, SQL, Tableau, CDP, GCP, Big Query, Google Analytics, SFDC, SFMC, JIRA at Johnson & Johnson, a with 100890 employees, based in New York City Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Daksh Shah.

Daksh Shah previously worked as Senior Data Analyst - Data Science at Johnson & Johnson and Data Analytics Intern at Changing The Present. Daksh Shah holds Masters, Applied Artificial Intelligence from Stevens Institute Of Technology.

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Johnson & Johnson

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Profile bio

About Daksh Shah

As a data scientist at Merkle, I developed a Customer Data Platform for leading automobile clients to improve marketing analytics, resulting in increased sales revenue. I designed and deployed ETL data pipelines, data connectors, dashboards, and machine learning models, using Python, SQL, and Tableau. I also led a team and conducted business meetings with clients and cross-functional teams.I am recent graduate with a master's degree in Applied AI at Stevens Institute of Technology, where I am learning advanced techniques and tools for natural language processing, computer vision, and deep learning. I have a strong background in data science and actuarial science, with certifications from Indian Institute of Actuary, Udemy and GreyAtom. I am passionate about solving complex problems and creating innovative solutions using data and AI.

Listed skills include Mathematics, Pandas, Data Science, Insurance, and 23 others.

Current workplace

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Johnson & Johnson
Johnson & Johnson
Data Scientist | MS in Applied Artificial Intelligence | J&J, Merkle, Prudential | Python, SQL, Tableau, CDP, GCP, Big Query, Google Analytics, SFDC, SFMC, JIRA
New York, NY, US
Website
jnj.com
Employees
100890
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7 roles

Daksh Shah work experience

A career timeline built from the work history available for this profile.

Senior Data Analyst - Data Science

Current
Johnson & Johnson

New Brunswick, Nj, Us

Oct 2024 - Present

Data Analytics Intern

Changing The Present

New York, Ny, Us

Created multiple data pipelines to clean and scrape data from the web based on respective use cases using Selenium and Beautiful Soup.

Aug 2024 - Oct 2024

Senior Data Analyst - Data Science

Merkle Sokrati

Pune, Maharashtra, In

• Managed a team of 2 interns and conducted all business meetings with client and other multiple cross functioning teams along with working hands on with the use cases.Responsibilities for the entire tenure:• Developed Customer Data Platform for leading automobile clients to improve marketing analytics, resulting in increased sales revenue.• Engineered 40+ ETL data pipelines, data connectors, JavaScript, and REST API tags using SQL and Python to ingest customer-related data and provide Identity Resolution by generating a unique ID for a given user in these different sources.• Created and exported over 100 customer segments for marketing campaigns, applying A/B Testing to optimize campaign strategies resulting in a 15% decrease in customer acquisition costs.• Designed Tableau dashboards encompassing the 360 view of entire marketing funnel, enabling C-level executives and dealers to analyze KPIs, replacing manual report creation, and reducing preparation time by 85%.• Propensity Modelling: Deployed multiple lead scoring models using Random Forest to forecast conversion probability at different stages of the marketing funnel to prioritize reaching out to these leads, resulting in a 2% increase in conversion rates.• Media Mix Modelling: Developed the MMM model using Linear Regression to measure the impact of marketing channels and suggest budget optimization strategies leading to an increase in leads by 10%.

Mar 2021 - Jun 2022

Associate Data Scientist

Merkle Sokrati

Pune, Maharashtra, In

• Only Intern to be directly reporting to the VP of Data Analytics.• Conducted multiple knowledge sharing sessions.

Sep 2020 - Feb 2021

Actuarial Analyst

Prudential Global Services Private Limited

Mumbai, Maharashtra, In

• Generated financial cashflow projections required for the stochastic modeling reports by using ALM models that enhanced strategic planning and minimized financial risk.• Collaborated exclusively with UK stakeholders to create an automated summary report for model outputs. • Developed 10 Excel & VBA tools and combined all the post-report scripting tools into one tool which led to a significant 70% decrease in job duration, while also eliminating the risk of human error in report generation.

Apr 2019 - Sep 2020
Team & coworkers

Colleagues at Johnson & Johnson

Other employees you can reach at jnj.com. View company contacts for 100890 employees →

PD Pravin Dabhade Pravin Dabhade Colleague at Johnson & JohnsonPune, Maharashtra, India View → CG Clare Guckenberger Clare Guckenberger Colleague at Johnson & JohnsonProvidence, Rhode Island, United States View → YG Yuan Guang (Yg) Toh Yuan Guang (Yg) Toh Colleague at Johnson & JohnsonSingapore View → LM Lina Maria Pedroza Ricaurte Lina Maria Pedroza Ricaurte Colleague at Johnson & JohnsonSão José Dos Campos, São Paulo, Brazil View → AZ Angélica Zúñiga Rodríguez Angélica Zúñiga Rodríguez Colleague at Johnson & JohnsonColombia View → JP João Pedro Cumini João Pedro Cumini Colleague at Johnson & JohnsonBrazil View → DT Daniella Thommen-Santaella Daniella Thommen-Santaella Colleague at Johnson & JohnsonZurich, Switzerland View → VD Veronica Devalerio Bradley Veronica Devalerio Bradley Colleague at Johnson & JohnsonLanghorne, Pennsylvania, United States View → SK Suryaprakash Khatik Suryaprakash Khatik Colleague at Johnson & JohnsonAhmedabad, Gujarat, India View → KW Kenny Walton Kenny Walton Colleague at Johnson & JohnsonKendall Park, New Jersey, United States View →
4 education records

Daksh Shah education

Masters, Applied Artificial Intelligence

Stevens Institute Of Technology

Masters Program, Data Science

Greyatom

Actuarial Student, Actuarial Science

Institute Of Actuaries Of India

Bachelor Of Commerce - Bcom

K.J. Somaiya College Of Arts & Commerce
FAQ

Frequently asked questions about Daksh Shah

Quick answers generated from the profile data available on this page.

What company does Daksh Shah work for?

Daksh Shah works for Johnson & Johnson.

What is Daksh Shah's role at Johnson & Johnson?

Daksh Shah is listed as Data Scientist | MS in Applied Artificial Intelligence | J&J, Merkle, Prudential | Python, SQL, Tableau, CDP, GCP, Big Query, Google Analytics, SFDC, SFMC, JIRA at Johnson & Johnson.

Where is Daksh Shah based?

Daksh Shah is based in New York City Metropolitan Area, United States while working with Johnson & Johnson.

What companies has Daksh Shah worked for?

Daksh Shah has worked for Johnson & Johnson, Changing The Present, Merkle Sokrati, and Prudential Global Services Private Limited.

Who are Daksh Shah's colleagues at Johnson & Johnson?

Daksh Shah's colleagues at Johnson & Johnson include Pravin Dabhade, Clare Guckenberger, Yuan Guang (Yg) Toh, Lina Maria Pedroza Ricaurte, and Angélica Zúñiga Rodríguez.

How can I contact Daksh Shah?

You can use AeroLeads to view verified contact signals for Daksh Shah at Johnson & Johnson, including work email, phone, and LinkedIn data when available.

What schools did Daksh Shah attend?

Daksh Shah holds Masters, Applied Artificial Intelligence from Stevens Institute Of Technology.

What skills is Daksh Shah known for?

Daksh Shah is listed with skills including Mathematics, Pandas, Data Science, Insurance, Data Management, Data Analysis, Microsoft Sql Server, and Exploratory Data Analysis.

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