Deepak Kumar

Business Development Executive

Gurugram, Haryana, India11 yrs 3 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

8+ years of experience in data analytics.
Expert in data-driven business decision-making.
Proven track record in process automation and optimization.

Stackforce AI infers this person is a Data Analytics professional with expertise in B2C and Logistics industries.

Contact

Skills

Core Skills

Data AnalysisData VisualizationData Quality

Other Skills

Data PipelinesSQLPythonTableauGoogle AnalyticsFacebook AdsGoogle AdsDashboardingKnowledge SharingCommunicationPeople ManagementData ScienceProduct AnalysisMixpanelData Validation

About

o Diligent data professional with around 8+ years of working experience in the Internet and supply chain industry. o Working as a Core member of the Centralized Analytics Team, providing analytical solutions to Sales, Marketing, Product, Strategy, and other departments that enable them to make effective Data-Driven Business Decisions. o Have worked on a project end-to-end: problem scoping, data gathering, EDA, data modeling, insights, and visualizations o Have the ability to deliver solutions like customer segmentation & targeting, cohorts analysis, and user retention o Have a good understanding of ML concepts for classification, regression, clustering, statistical and predictive analytics o Have strong analytical and problem-solving skills, with a high level of attention to details

Experience

11 yrs 3 mos

Total Experience

3 yrs 9 mos

Average Tenure

5 yrs 2 mos

Current Experience

Pocketpills

Lead Data Analyst

Apr 2021 – Present · 5 yrs 2 mos · Gurugram, Haryana, India

Gaana

Senior Data Analyst

Aug 2018 – Apr 2021 · 2 yrs 8 mos · Noida, Uttar Pradesh, India

Developed the framework to fetch all metrics data from GA and DB. It can also fetch major metrics like retention, funnel, load time, play & click, bounce, and exit rate, etc. It has reduced 1 week for manual work to 2-3 hrs.
Used RFM Model for Recently Played songs to create more engaging track sequence.
Revamped end2end process automation for trending song which can calculate the final rank of tracks language-wise as per their playout’s trends. It has increased engagement by 5% for the trending song section.
Developed the framework for the marketing team which can create/update Facebook custom audience via graph API and Google AdWords custom audience via AdWords API as per the campaign requirements of users targeting.
Created end2end process automation for freedom plan subscription bundle which can activate, renew users as per their eligibility and created data pipelines and maintained them for each level of data reports.
Optimized & Implemented new and reliable GA events tracking for PWA traffic.
Migrated some daily reports to the Tableau dashboard
Created many Data-Studio dashboards for sales, products and strategy teams.
Done Major Analysis like monthly platform metrics analysis, new feature releases A/B testing, playlist performance analysis, position-wise sectional analysis, campaign analysis for announcing winners, subscriptions and payments analysis and invoice billing, etc

Data AnalysisData VisualizationData PipelinesSQLPythonTableau+3

Delhivery

2 roles

Senior Data Quality Analyst

Promoted

Apr 2017 – Aug 2018 · 1 yr 4 mos · Gurgaon, Haryana, India

Created some dashboards on shipments data for finding stats and insights of data with interactive filters and graphs.
Developed a misroute prediction tool using history data of shipments.
Automated many excel reports like misroutes report, tat zone metrics report, etc by writing SQL and python scripts
Integrated some features in AddFix (It's an Internal tool for locality identification from address) core algorithms like city identification, locality prioritizing, etc.

Data QualitySQLPythonDashboarding

Data Quality Analyst

Feb 2015 – Mar 2017 · 2 yrs 1 mo · Gurgaon, Haryana, India

Performed in-depth root cause analysis on data collection team works and implemented various standard systems.
Developed a sanity check framework for checking errors in city wise locality data which optimized data quality up to 98%.
Developed an ngram-locality framework for extracting locality information from raw addresses data which reduced the time from 1 day to 30 minutes.
Created many internal tools like - address code, address type, address similarity engine, making hierarchy levels of localities, phone number validation, unique abbreviation id of cities and localities, etc.

Data QualityData AnalysisSQL