Google

- Working in the Google Devices and Services group as a Data Engineer
- Develop high quality modern pipelining, warehousing, and reporting solutions and deliver it to customers across teams, making data more useful to the enterprise
- Designing data solutions to help customers, and so the organization, grow fast

Data Engineer

Microsoft

- Core Data Engineering team of Microsoft Edge
- Responsible for Browser's success and health, by advanced telemetry & customer analytics
- Designed data frameworks on top of Google Chromium's open-source engine and telematics design
- Developed the data framework (Pipelines, Data Lakes) using Azure and open-source tools 
- Owned self serve dashboarding system, which enabled analysis for 50+ features 
- Directly worked with Feature PMs, Senior Leadership, and several other stakeholders
- This contributed directly in making Microsoft Edge a world class browser

TiVo

- Analyzed viewership of programs and channels across US with raw Television/ STB data
- Rated all TV Programs and Channels, using complex time-zone normalization and other proprietary algorithms
- Sold the data directly to third parties
- Used internally to optimize the bundling of the channels across TiVo Operators
- Helped make TiVo TV Guide more powerful

Thorogood Associates

- Worked directly with customers from Unilever (UK), and Novartis (Germany)
- Gained experience across many functional areas like BFSI, HR, and HealthCare
- Trained new hires multiple times during his span at Thorogood, for SQL and other Data technologies

Business Intelligence Consultant

MAQ Software

- Developed and designed a Data Mart, ETL, Multidimensional solution for an internal site of Microsoft

Business Intelligence Engineer

A creative thinker, a continuous learner, a technologist. Deepanshu is a data engineer with great technical skills and a passion for resolving complex problems at ease. 
Adept at maintaining focus on achieving the right end results while formulating and implementing advanced technology and business solutions, especially in customer analytics and growth analytics areas. Deepanshu's skills include SQL, Data Engineering, Apache Spark, Extract, Transform, Load (ETL), Pipelining, Python, NoSQL and he has worked on all three major cloud platforms GCP, Azure, and AWS.

Apart from these Deepanshu focuses on collaboration and communication skills, together with a demonstrable desire to learn more thanks to the exceptionally amazing peers he has worked with. This helps him secure competitive advantage when comes to good quality work and team building.

He is currently delivering value to customers as a Data Engineer at Google with his Data strategy, vision, and technical implementation. In the past, he worked with Microsoft and touched billion+ of users with his data solutions. Deepanshu is aspiring and interested to get into or promote into a role where he can clearly demonstrate his leadership and product management qualities.

You can connect with Deepanshu on Instagram as well at instagram.com/dkalra_/

Thank you for reading.
Keep hustling! Keep growing!

Deepanshu Kalra

Rapyder Cloud Solutions

AI/ML Trainee

DataTrained

Managing projects for Machine Learning and doing tasks
like:- Data preprocessing, Model training, Model Selection, Prediction, Deployment
Expertise invalidating the data using EDA / ETL Techniques:
Central Tendency, Dispersion, Quartile / Percentile, Standardization and Data Visualization

Data Science Intern

Kaggle

Kaggle Profile Link : https://www.kaggle.com/uniabhi

Kaggle Dataset Expert : Rank 416 out of 51,306
Kaggle Discussion Expert : Rank 467 out of 262,081
Kaggle Notebook Expert : Rank 2101 out of 197,873


Kaggle is a platform for predictive modelling and analytics competitions in which statisticians and data miners compete to produce the best models for predicting and describing the datasets uploaded by companies and users. This crowd-sourcing approach relies on the fact that there are countless strategies that can be applied to any predictive modelling task and it is impossible to know beforehand which technique or analyst will be most effective.

3x Kaggle expert

Kaggle Contributor

iNeuron.ai

- During Internship Worked on Machine learning project  --  Online Grocery Recommendation using Collaborative Filtering

- Involved in Data Scraping and Data Pre-processing Techniques such as data cleaning, visualizing the data, identifying outliers and making data ready for Machine Learning Techniques.

- Involved in the process of Model Deployment

Machine Learning Intern

Ethical Learner

- Worked as a Talent acquisition intern
- Closely Worked with Ethical Learner Core Team
- Hired Interns for various positions like:- Campus Ambassador, Social Media Manager, Campus Ambassador Mentor, Data Science Interns and many more

Talent acquisition intern

- Worked as a Campus Ambassador Mentor 
- Sucessfully Conducted Two Campus Ambassador Program
- Mentored 120 Plus Campus Ambassadors Interns

Campus ambassador mentor

- Hi. This is Abhishek Kumar. My aiming for simplicity in Data Science. Real Creativity won't make things more complex. Instead, I will simplify them, Interested in a Data Science Career and so developing myself accordingly.
- Myself with one year of experience in Data science domain as Data science Intern. Doing tasks related to Machine learning like - Data preprocessing, Model training, Model Selection, Prediction and Deployment for Insurance Claims- Fraud Detection, Loan Application Status Prediction and Customer Churn Analysis Projects.
- Hands-on experience on classification, regression, clustering, computer vision to solve challenging business problems.
- Have experience in Machine learning like- Linear Regression, Logistic Regression, Decision Tree, Support Vector Machine, Naive Bayes, Unsupervised Learning, Ensemble Technique, Hyper parameter Tuning, Data Collection, Data cleaning, Data preprocessing, model Training and deployment on cloud platform.
- Have Deep learning skills like : ANN, LeNet, AlexNet, VGG - 16, GoogLeNet, ResNet , Computer vision and object detection.
- I am currently kaggle 3x expert and participates often in HACKATHON and love to contribute in open source projects.
- LinkedIn has always helped me to grow in my career, best place for me to share my daily thoughts.

taplio

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Deepanshu Kalra

Abhishek Kumar

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