Ankit Garg Email & Phone Number
@adobe.com
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Who is Ankit Garg? Overview
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Ankit Garg is listed as Senior Machine Learning Scientist at Microsoft, a with 231118 employees, based in Noida, Uttar Pradesh, India. AeroLeads shows a work email signal at adobe.com and a matched LinkedIn profile for Ankit Garg.
Ankit Garg previously worked as Lead Data Scientist (Advanced Analytics) at Adobe and Senior Data Scientist (Advanced Analytics) at Adobe. Ankit Garg holds Master Of Business Administration - Mba, Business Administration And Management, General from Indian Institute Of Management, Lucknow.
Email format at Microsoft
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AeroLeads found 2 current-domain work email signals for Ankit Garg. Compare company email patterns before reaching out.
About Ankit Garg
Highly motivated data science professional with an MBA from IIM Lucknow and a certification in Business Analytics & Intelligence from IIM Bangalore. With over 12 years of experience, I specialize in advanced statistical modeling, machine learning, and data-driven insights. Proficient in Python, Power BI, SQL, and Excel, I excel in both hands-on data science and leading teams to deliver end-to-end machine learning solutions. I am adept at transforming complex business problems into actionable analytical frameworks and effectively communicating results to senior leadership.Key Responsibilities:- Translate business challenges into analytical models using statistical algorithms and machine learning techniques.- Lead end-to-end project execution, including data exploration, preparation, analysis, and presentation of insights to senior leadership.- Lead and mentor teams of data scientists to meet project objectives.- Manage project requirements, conceptualization, and time estimation.- Drive stakeholder management, ensuring clear communication and alignment throughout project lifecycles.
Listed skills include Sas, R, Microsoft Excel, Sql, and 16 others.
Ankit Garg's current company
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Ankit Garg work experience
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Lead Data Scientist (Advanced Analytics)
- Developed a large-scale predictive model using advanced Machine Learning (ML) algorithms such as XGBoost, GBM, SVM, and Random Forest to predict opportunity conversion likelihood.- Applied Explainable AI (XAI) techniques such as LIME and SHAP to provide local interpretability for model results.- Led an initiative to enhance model accuracy using Deep Learning (DL) algorithms such as MLP Classifiers and Feedforward Neural Networks (FNNs).- Collaborated closely with leadership and key internal stakeholders across geographies to meet their advanced analytics needs.- Led multiple teams within the Global Sales Analytics function, including Pipeline Excellence and Business Reviews, driving business impact and innovation.- Managed E-team level reporting on sales and data insights, consistently delivering high-accuracy results and handling complex requests under tight deadlines.- Secured a top-5 finish in the GenAI Smart-o-thon event.
Senior Data Scientist (Advanced Analytics)
- Led a major stream of Adobe's annual Sales Plan Allocation exercise for its global DX business.- Utilized various machine learning algorithms, including Decision Trees and Clustering, to uncover hidden insights and enhance the effectiveness of the planning process.- Spearheaded an organization-wide initiative to identify factors influencing sales rep productivity using machine learning techniques like Regression and Clustering.- Directed the development of a machine learning-powered recommendation engine that provided automated insights and actionable inputs to sales reps, enhancing their performance.- Managed a high-usage performance metrics report built on Microsoft’s Power BI platform.- Led the transition from SAS to Python for data analysis and manipulation tasks, streamlining workflows and improving efficiency.- Provided mentorship to college interns, guiding them in data science and machine learning practices.
Associate Program Manager (Advanced Analytics)
- Collaborated closely with internal stakeholders to fulfill complex data analytics requirements during Quarterly Business Reviews (QBRs), ensuring timely delivery.- Led initiatives to analyze the sales pipeline from multiple perspectives, uncovering insights into current processes and identifying areas for improvement.- Took ownership of data analyses, reporting, and deep dives within the Global Sales Operations function, providing valuable insights to drive business decisions.
Senior Business Analyst
- Developed and managed leadership and field-facing BI solutions to track business performance and support Go-to-Market (GTM) strategies.- Enabled a leading multinational pharmaceutical client to extract valuable data-driven insights and identify trends, facilitating informed decision-making.- Led a team of data analysts in creating high-impact BI solutions and conducting in-depth analyses.
Business Analyst
- Optimized the order management system for one of the world’s largest retail brands, earning a Spot award for my contribution.- Developed a predictive model to identify factors affecting sales performance for a leading US retail chain.- Created a clustering model to categorize a client's retail stores based on similar characteristics.- Assisted a top American insurance company in identifying the factors contributing to the decline in average earned premiums for their auto insurance business.- Served as a consultative partner in data analytics, managing stakeholder communication and delivering actionable insights.
Colleagues at Microsoft
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Rose Peacock
Colleague at MicrosoftPlymouth, England, United Kingdom
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Adriel Tavares
Colleague at MicrosoftTailândia, Pará, Brazil
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Kevin Schofield
Colleague at MicrosoftFort Lauderdale, Florida, United States
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Hasan Mahmud
Colleague at MicrosoftDhaka, Bangladesh
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Ramon Cabanas
Colleague at MicrosoftAsuncion, Asunción, Paraguay
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Thanh Thanh
Colleague at MicrosoftĐà Nang, Da Nang City, Vietnam, Viet Nam
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Ian Mcfarlane
Colleague at MicrosoftWest Boldon, England, United Kingdom
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Dev Charles
Colleague at MicrosoftPort-Au-Prince, Département De L'Ouest, Haiti
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Patrick Ruddiman
Colleague at MicrosoftGreensboro--Winston-Salem--High Point Area, United States
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Divyanshi Taneja
Colleague at MicrosoftMalout, Punjab, India
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Ankit Garg education
Master Of Business Administration - Mba, Business Administration And Management, General
Business Analytics And Intelligence, Data And Business Analytics
Bachelor Of Engineering - Be, Mechanical Engineering
Frequently asked questions about Ankit Garg
Quick answers generated from the profile data available on this page.
What company does Ankit Garg work for?
Ankit Garg works for Microsoft.
What is Ankit Garg's role at Microsoft?
Ankit Garg is listed as Senior Machine Learning Scientist at Microsoft.
What is Ankit Garg's email address?
AeroLeads has found 2 work email signals at @adobe.com for Ankit Garg at Microsoft.
Where is Ankit Garg based?
Ankit Garg is based in Noida, Uttar Pradesh, India while working with Microsoft.
What companies has Ankit Garg worked for?
Ankit Garg has worked for Microsoft, Adobe, and Mu Sigma Inc..
Who are Ankit Garg's colleagues at Microsoft?
Ankit Garg's colleagues at Microsoft include Rose Peacock, Adriel Tavares, Kevin Schofield, Hasan Mahmud, and Ramon Cabanas.
How can I contact Ankit Garg?
You can use AeroLeads to view verified contact signals for Ankit Garg at Microsoft, including work email, phone, and LinkedIn data when available.
What schools did Ankit Garg attend?
Ankit Garg holds Master Of Business Administration - Mba, Business Administration And Management, General from Indian Institute Of Management, Lucknow.
What skills is Ankit Garg known for?
Ankit Garg is listed with skills including Sas, R, Microsoft Excel, Sql, Business Analytics, Insight Generation, Data Mining, and Data Analytics.
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