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Sheikh Junaid

Sheikh Junaid

Senior Data Analyst

Valtech | Edinburgh, UK

Technologies

My Portfolio Highlights

My New Track

Data Analyst

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Associate Data Scientist

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Data Engineer

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Data Analyst

Quantitative magician, conjuring valuable knowledge from data spells.

My Work

Take a look at my latest work.

track

EU AI Act Fundamentals

Theory
track

EU AI Act Fundamentals

Theory

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Understanding Artificial Intelligence
Introduction to R
Supervised Learning with scikit-learn

My Work Experience

Where I've interned and worked during my career.

Valtech | Apr 2024 - Present

Senior Analyst

Valtech is the experience innovation company that exists to unlock a better way to experience the world. With a focus on delivering exceptional business results, we empower brands to leap ahead of the competition and go beyond best practices. Our global team of 7,500+ professionals in more than 60 offices worldwide help brands unlock value in a digitally accelerated world. It’s at the intersection of insights and perspectives where we leverage the power of data, AI, creativity, and technology to achieve experience innovation for many of the world’s best-known brands, including L’Oreal, Mars, Audi, P&G, Volkswagen, and Dolby. See our work at Valtech.com.
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Kin + Carta | Sep 2023 - Apr 2024

Senior Data Analyst

Kin + Carta is a pioneering technology, data, and experience consultancy dedicated to leveraging business as a catalyst for positive change. * Collaborated & supported the development, testing and production scaling of an end-to-end optimizer product employing multiple linear regression models, reducing weighted absolute percentage error by 20% for accurate viewer household predictions. * Spearheaded a successful MSSQL to BigQuery data migration for 100+ TB datasets, ensuring data integrity while streamlining ETL processes for efficient transfer. * Automated daily BigQuery data loading using batch scripts and Airflow DAGs, eliminating 80% of manual tasks and saving an estimated 15 hours per week for the teams. * Designed comprehensive metrics to diagnose bottlenecks in the data migration process, pinpointing inefficiencies and enabling a strategic 70% increase in processing speed.

University of Edinburgh Business School | Sep 2022 - Aug 2023

Program Representative

MSc Business Analytics - Programme Representative 2022/23 * Student Advocacy & Feedback Analysis: Leveraged communication and data analysis skills to proactively gather feedback from diverse student groups, consolidating insights into actionable recommendations to improve teaching, learning, and the overall student experience. * Collaborative Problem-Solving: Collaborated with faculty and staff across departments to identify solutions, address concerns, and drive continuous improvement in academic programs, demonstrating strong teamwork and initiative. * Effective Communication & Feedback Loop: Championed transparency by closing the feedback loop, effectively communicating resolutions and outcomes to students, fostering trust and demonstrating the impact of their input. * Cross-functional Collaboration: Proactively partnered with fellow Programme Representatives to address program feedback, demonstrating strategic thinking and the ability to drive change at scale. * Escalation and Representation: Advocated for student interests by escalating broader issues to School Representatives, ensuring concerns were heard and addressed at the appropriate level.

Sainsbury's | Nov 2022 - Dec 2022

Online Assistant

* Demonstrated exceptional efficiency by consistently maintaining a pick rate of 180 items per hour, exceeding performance targets and contributing to smooth operation of the online fulfillment process. * Focused on customer satisfaction by carefully selecting high-quality products, ensuring accurate and complete order fulfillment according to customer requests.

PharmEasy | Jun 2021 - Jul 2022

Senior Business Analyst

PharmEasy is one of the most trusted online pharmacy & medical stores offering pharmaceutical and healthcare products. Recommender System Development & Optimization: * Designed and implemented a custom Frequent-Pattern Growth algorithm, boosting user engagement for OTC recommendations by a significant 20%. * Optimized relevance algorithms for the "Frequently Bought Together" (FBT) widget, increasing funnel-related metrics by a substantial 40%. * Engineered a sophisticated personalized recommender system using Matrix Factorization, resulting in a remarkable 45% increase in user interaction metrics. A/B Testing: * Conducted rigorous A/B testing to validate recommender system performance, achieving a 97% confidence level in improvements, and demonstrating a data-driven evaluation process. Cross-Functional Collaboration for Impact: * Collaborated with cross-functional teams to refine FBT recommendations, contributing to a notable 30-40% improvement in relevance and coverage metrics, driving measurable business results. Data Analysis for Product Insights: * Developed dashboards in Microstrategy to monitor FBT widget performance (coverage, CTRs, add-to-cart rates), enabling data-driven decision-making. * Performed in-depth root cause analysis to identify and address declines in FBT widget click-through rates and conversion, demonstrating problem-solving skills.

bigbasket.com | Apr 2020 - Jun 2021

Senior Consultant - Analytics & Data Sciences

bigbasket is one of the largest Indian online stores delivering goods found in convenience stores, home essentials and food supplies to customers. Data Processing & Management: * Designed and oversaw the implementation of a vendor data pipeline to ensure efficient data storage and streamlined access for handling information on a large vendor network. * Supervised daily data pipeline operations, guaranteeing timely and accurate updates for vast datasets that support critical business functions. Algorithmic Development & Optimization: * Developed a custom FP-Growth algorithm to improve app UI features, resulting in a 25% sales conversion uplift, demonstrating the ability to optimize user experience for a potentially large user base. * Enhanced the "Frequently Bought Together" recommendation system to increase SKU coverage and cater to a wider range of products within the massive inventory. * Streamlined a forecasting framework for perishable SKUs, addressing unforeseen events to reduce product write-offs while managing the complexities of forecasting for a large and dynamic product category. * Reduced algorithm runtime and operational costs by 40% in AWS, demonstrating efficiency optimization for handling large datasets and complex algorithms at scale. Predictive Modeling: * Built and implemented a custom newsvendor model, achieving a 20% reduction in forecast errors and a 30% decrease in perishable SKU write- offs across multiple regions in India, showcasing the ability to develop highly accurate models for large-scale inventory management. Management: * Spearheaded mentorship of 2 interns, accelerating their proficiency in sales terminology and supply chain analysis. Elevated CXO insights through intern- led presentations, driving data-driven sales growth.

bigbasket.com | Feb 2020 - Mar 2020

Analytics Consultant

Data Analysis & Insights: * Analyzed massive datasets encompassing over 100,000 SKUs and over 1 million monthly transactions across India to extract KPIs and inform assortment optimization strategies in tier-2 cities. * Leveraged data-driven insights to identify a solution that improved margins by a significant 50 lakh INR per month within the fruits and vegetables category, handling a high-volume product segment. * Analyzed customer feedback (from surveys) to develop targeted recommendations, leading to a remarkable 25% increase in NPS scores in tier-2 locations, demonstrating the ability to translate data insights into actionable improvements for a large customer base. * Provided data-driven insights and automated reports to support various teams (finance, replenishment, category management, and warehouse) managing extensive operations involving a vast product range and high transaction volume.

Accenture | Sep 2018 - Jan 2020

Workday Integration Developer

Accenture is a multinational professional services company that provides services in strategy, consulting, digital, technology and operations. * Collaborated with cross-functional teams to design, implement, and test robust Workday solutions, ensuring functionality, scalability, and performance for clients in the Human Capital Management domain. * Built strong client relationships through proactive communication, timely delivery, and a focus on quality control, contributing to the 'Accenture Celebrates Excellence' (Q3 FY19) Client and Customer award. * Designed and implemented three automated data integration processes using Workday Studio to efficiently handle severance worksheets for terminated employees at Pfizer, USA. * Led the development and implementation of data integrations for Workday to process payroll for over 15,000 employees at Boeing, USA, achieving a 50% reduction in processing time. * Provided technical expertise and consultation to internal clients on Workday Studio, Core Connectors, and EIB integrations, managing project proposals and resolving complex issues. * Developed and implemented Workday Studio integrations to streamline key HR processes, including severance processing, state-specific HR data management, and payroll systems. * Actively engaged with the Workday Community, demonstrating knowledge across functionalities and contributing solutions to diverse queries.

National Institute of Technology, Tiruchirappalli | May 2017 - Jul 2018

Overall Placement Coordinator - PG

N/A

Steel Authority of India Limited | Dec 2014 - Dec 2014

Industrial Trainee

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CHHATTISGARH STATE POWER DISTRIBUTION COMPANY

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LIMITED | Jun 2014 - Jun 2014

Internship Trainee

N/A

My Education

Take a look at my formal education

Master of Science - MS, Business Analytics  · (September 2022 - SeptemberUniversity of Edinburgh Business School | 2023
Post Graduate Diploma in Data Science, Data ScienceInternational Institute of Information Technology Bangalore | 2019
Master of Technology (MTech), Power SystemsNational Institute of Technology Tiruchirappalli | 2018
Bachelor of Technology (B.Tech.), Electrical and Electronics EngineeringSRM University | 2016
Kendriya Vidyalaya | 2011

About Me

Sheikh Junaid

Data analytics practitioner with 4+ years of experience building data-driven products across the pharmaceutical, retail, banking & media sectors, enabling data-driven decision making and delivering impactful business insights.

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