Varnit Jain

Associate Consultant

Delhi, India6 yrs 7 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Nearly 5 years of experience in data analytics.
  • Expert in developing data-driven insights for business efficiency.
  • Proficient in advanced data analysis techniques and tools.
Stackforce AI infers this person is a Data Analytics professional with experience in the Travel and Healthcare industries.

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Skills

Core Skills

Data AnalyticsSoftware Development

Other Skills

DashboardsAmazon Web Services (AWS)Data AnalysisCustomer ProfilingSQLPysparkPredictive AnalyticsLinear RegressionTime Series AnalysisARIMA

About

Result-oriented professional with nearly 5 years of relevant experience in delivering valuable insights through data analytics and advanced data-driven methods to increase efficiency, accuracy, and utility of internal data processing. Exposure of data analysis techniques, tools, and concepts to provide insights to management on driving business results Knowledge of various quantitative approaches, creative data analysis, algorithm development & modelling.

Experience

6 yrs 7 mos
Total Experience
1 yr 7 mos
Average Tenure
1 yr 10 mos
Current Experience

Exl

Senior Consultant

Jul 2024Present · 1 yr 10 mos · Gurugram, Haryana, India · Hybrid

DashboardsAmazon Web Services (AWS)Data Analytics

Smg infotech

Data Scientist

Apr 2022Jan 2025 · 2 yrs 9 mos · Hyderabad, Telangana, India · Hybrid

DashboardsAmazon Web Services (AWS)Data Analytics

American express global business travel

Business Analyst

Feb 2021Apr 2022 · 1 yr 2 mos · Gurugram, Haryana, India

  • I have worked kn various projects in the travel field like Hotel Recommendation, Carbon emission and customer profiling which can help to provide relevant flights, hotels and cars.
DashboardsAmazon Web Services (AWS)Data Analytics

Dunnhumby

Senior Applied Data Scientist

Oct 2019Feb 2021 · 1 yr 4 mos · Gurugram, Haryana, India

  • I work on bespoke analysis and I have to analyze the business problem set up a plan to provide the solution. I have used various techniques like normalization and clustering for RFM segmentation.
  • Analysis on finding a trip mission of each customer using rule-based process. Using pyspark and SQL defining different rules to select the customers to target for the campaign. Analysis to filter out the most relevant customers only. Using test and control define different KPIs and to find the long term impact of the campaign even after the campaign period. TO present the campaign performance using the KPIs to the client.
DashboardsAmazon Web Services (AWS)Data Analytics

Glassbeam, inc

2 roles

Software Engineer

Promoted

Jul 2018Oct 2019 · 1 yr 3 mos

DashboardsAmazon Web Services (AWS)Software Development

Software Associate

Jul 2017Jul 2018 · 1 yr

  • =>Used predictive analytics to predict CT Scanner X-Ray Tube Life using linear
  • regression with 95% accuracy and helped the client to increase revenue by $5million.
  • =>Predictive time series analysis using ARIMA to predict the next 6 month System and Storage utilization, achieving a 15% more accurate prediction of performance than previous years.
  • =>Predictive analysis using anomaly detection and hypothesis testing
  • =>Solved classification problems using Decision Trees with 95% accuracy.
  • =>Analyzed and processed complex datasets using advanced querying, visualization and
  • analytics tools ie. Tableau, Logi Studio
  • =>Improved data mining processes, resulting in a 20% decrease in time needed to infer insights from customer data used to develop marketing strategies
DashboardsAmazon Web Services (AWS)Software Development

Education

Indraprastha University

Bachelor's of Technology — Computer Science

Jan 2013Jan 2017

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