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Aditya Vikram Email & Phone Number

Lead Data Scientist @ CondeNast | AI/ML & MLOps | IISc | IITBHU | Ex-Zee5, Flipkart, Walmart at Condé Nast Technology Lab
Location: Bengaluru, Karnataka, India 9 work roles 2 schools
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Lead Data Scientist @ CondeNast | AI/ML & MLOps | IISc | IITBHU | Ex-Zee5, Flipkart, Walmart
Location
Bengaluru, Karnataka, India
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Aditya Vikram is listed as Lead Data Scientist @ CondeNast | AI/ML & MLOps | IISc | IITBHU | Ex-Zee5, Flipkart, Walmart at Condé Nast Technology Lab, a with 11 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a matched LinkedIn profile for Aditya Vikram.

Aditya Vikram previously worked as Data Scientist III at Condé Nast Technology Lab and Data Scientist II at Zee5. Aditya Vikram holds Masters, 8.8 from Indian Institute Of Science (Iisc).

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About Aditya Vikram

Data Science professional with ~6 years of industry experience. Continuous learner and likes to experiment and apply Machine Learning/ Deep Learning/ Generative AI solutions across problems and sectors.

Listed skills include Microsoft Excel, Microsoft Access, Mysql, Minitab, and 7 others.

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Condé Nast Technology Lab
Condé Nast Technology Lab
Lead Data Scientist @ CondeNast | AI/ML & MLOps | IISc | IITBHU | Ex-Zee5, Flipkart, Walmart
Employees
11
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9 roles

Aditya Vikram work experience

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Data Scientist Ii

Greater Bengaluru Area

AdStudio- Developed multiple Generative AI solutions for AdStudio, an AI-powered ad creative platform, to support SMEs and D2C brands in reducing cost and time spent in the brand management and ad creation process in less than 10 mins- Leveraged LLMs Chat GPT4 & ChatGPT3.5 to help brand generate their brand positioning to be used for multiple downstream tasks like ad copy generation, posts generation and texts for display banners- Used Stable Diffusion 1.5 models along with control net for brand catalog generation like background replacement and mannequin to person. Fine tuned SD1.5 on custom Indian dataset to generate India specific human models- Wrote REST APIs and managed the MLOps pipeline in Azure for putting the solutions into productionCLMSolved multiple problems along Customer Lifecycle Management:- Extreme classification for AVoD to SVoD conversion. Feature engineered approx 300+ features. Productionized solution using Airflow, MLFlow, Bigquery, and ML improving revenue from subscriptions by xx %- Performed unsupervised temporal clustering on SVoD (Subscriber Video on Demand) Churn user base using KMeans++ Algo. Analyzed and defined the reason behind the churn basis cohort behavior for targeted marketing campaigns

Apr 2022 - Apr 2024

Data Scientist

Bangalore Urban, Karnataka, India

Taking Flipkart AB platform to next level.• Developing statistical solutions for Flipkart’s A/B testing platform. Solutions include sample size estimations for experiments basis multiple input requirements i.e., power, significance level, duration, and new suite of tests as per the metric requirements• Researched and implemented new tests like CUPED, Cluster Bootstrapping, MWU test, Chi-Square, Two-parts tests, etc. to improve the platform’s sensitivity to new experiments wrt. the data class

Jul 2021 - Apr 2022

Data Science Intern

Bangalore Urban, Karnataka, India

Developing solution for scene text detection and recognition of natural scene text images for Health & Wellness team. Work accepted in VISAPP2022.• Research internship on super-resolution module for Walmart’s in-house OCR for text detection from low resolution images. Work got accepted for presentation in VISAPP 2022, France• Built a new architecture on top of IMDN framework involving self-attention, Bi-LSTM layers and two new text-aware loss functions to better cater super-resolution of text image dataset• Proposed a new scheme of generating low resolution-high resolution image pairs for training the model to mimic real datasets• Proposed super-resolution module improved accuracy of the Walmart OCR on Low Resolution image by 10% over the existing baseline

Feb 2021 - Jul 2021

Data Scientist Intern

Bengaluru, Karnataka

Received #PPO for my work• Performed POC for Visual aspect-based feedback system for the e-commerce platform. Created a custom pipeline for object detection using RetinaNet framework over a multiclass classification model to simultaneously classify and localize semantics parts

Apr 2020 - Jul 2020

Associate Consultant (Mena Region)

Bangalore

Joined as a Business Analyst. Promoted to Associate Consultant skipping Senior BA designation• Consulted clients in the Indian and MENA geography across retail, EdTech, finance, hyperlocal and e-commerce sector• Worked on problems across regression, classification, clustering, and forecasting to help clients with estimating market sizes, segmentation, growth analysis, customer cohort analysis etc.• Developed custom NLP based sentiment analysis models using LSTMs to gauge the customer’s sentiment towards the brands

Feb 2018 - Jul 2019

Core Team Member

Hyderabad Area, India

• Developed multiclass classification model using multiple machine learning models including XGBoost, Adaboost, Decision Trees, Random Forest to predict the favorability of a party winning a constituency or polling station basis historical performances.• Compiled an automated Assembly Constituency report using SQL and python & created dashboard using Tableau to analyze and monitor the ground operations across demographics

Jun 2016 - Feb 2018

Core Team Member

Institute Lecture Series (Ils)

Iit (Bhu) , Varanasi

One of the three members of Core Organizing Team of ILS, IIT(BHU). Responsibility involves Creating Posters, Publicity, and Event Management. Had hosted eminent personalities like David Richard Bell (Professor of Marketing, Wharton School,University of Pennsylvania), Padma Shri Dr. Kota Harinarayana (Programme Director and Chief Designer of Light Combat Aircraft-TEJAS) and many others.

Aug 2014 - Mar 2016

Creative Head , Magnate'14

Mciie Iit Bhu Varanasi

Iit(Bhu) , Vranasi

Worked as the Creative Head , Magnate'14 , The annual Business Fest of IIT(BHU). Led a team of three and designed Marketing Brochure, fliers, posters and banners for marketing and publicity of the fest.

Dec 2013 - Apr 2014
2 education records

Aditya Vikram education

FAQ

Frequently asked questions about Aditya Vikram

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

What company does Aditya Vikram work for?

Aditya Vikram works for Condé Nast Technology Lab.

What is Aditya Vikram's role at Condé Nast Technology Lab?

Aditya Vikram is listed as Lead Data Scientist @ CondeNast | AI/ML & MLOps | IISc | IITBHU | Ex-Zee5, Flipkart, Walmart at Condé Nast Technology Lab.

Where is Aditya Vikram based?

Aditya Vikram is based in Bengaluru, Karnataka, India while working with Condé Nast Technology Lab.

What companies has Aditya Vikram worked for?

Aditya Vikram has worked for Condé Nast Technology Lab, Zee5, Flipkart, Walmart Global Tech India, and Redseer.

How can I contact Aditya Vikram?

You can use AeroLeads to view verified contact signals for Aditya Vikram at Condé Nast Technology Lab, including work email, phone, and LinkedIn data when available.

What schools did Aditya Vikram attend?

Aditya Vikram holds Masters, 8.8 from Indian Institute Of Science (Iisc).

What skills is Aditya Vikram known for?

Aditya Vikram is listed with skills including Microsoft Excel, Microsoft Access, Mysql, Minitab, Photoshop, Mining Engineering, Operations Management, and C.

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