Dev Bayla

Operations Associate

Gurugram, Haryana, India3 yrs 9 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Designed Python automation for 3000+ Excel reports.
  • Developed demand forecasting models using machine learning.
  • Crafted optimization algorithms for air transportation routes.
Stackforce AI infers this person is a Data Analyst specializing in Logistics and Operations Research.

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Skills

Core Skills

Supply Chain ManagementData AnalysisPredictive ModelingOperations ResearchData Science

Other Skills

Inventory OptimizationPython (Programming Language)PythonMicrosoft Power BIMicrosoft ExcelSQLMachine LearningTime SeriesDynamic ProgrammingCommunicationRedashStarburstData ManipulationInventory AnalysisInventory Management

About

๐Ÿ‘‹ Hello! I'm Dev Bayla, a seasoned Data Analyst with a passion for unraveling the stories hidden within vast datasets. With 3+ years of hands-on experience, I've navigated the dynamic landscape of data exploration and analysis, contributing my expertise to Safexpress Pvt. Ltd. in Gurugram. ๐Ÿ” In my role at Safexpress, I've taken the reins in designing a Python automation code that effortlessly generates over 3000 Excel reports tailored to each customer's unique requirements. Using Outlook accounts, these reports are seamlessly delivered to respective recipients, ensuring timely and accurate dissemination of crucial insights. This initiative has not only streamlined our reporting process but also significantly enhanced efficiency and accuracy within our operations, showcasing my commitment to driving innovation through technology. ๐Ÿ’ผ Previously, at CargoFlash, I meticulously validated historical AWB data, utilizing Python and MS Excel to detect anomalies and conduct in-depth analyses on product contribution, booking patterns, and station performance. My expertise in predictive modeling shines through in the development of robust demand forecasting models at various levels, including OD, OD Product, and Flight levels. ๐Ÿš€ One of my proudest achievements includes crafting a Python-based optimization algorithm for air transportation routes, demonstrating my proficiency in dynamic programming. Collaborating closely with business teams, I've conducted comprehensive analyses of Reservation and WMS reports, providing invaluable, data-driven insights for informed decision-making. ๐ŸŽ“ My data analytics journey began as a Data Science & Business Analytics Intern at The Sparks Foundation, where I honed my skills in machine learning and exploratory data analysis. I also undertook personal projects, including Credit Card Anomalies Detection and Marketing Research on Customer Satisfaction towards BAJAJ bikes. ๐Ÿ’ก With a solid foundation in Python, Machine learning, MS Excel, SQL, and analytical tools, I'm passionate about transforming raw data into actionable insights. I thrive in environments that value innovation and collaboration, and I'm eager to explore new opportunities where I can contribute my skills to drive impactful change. ๐Ÿค Let's connect and explore how we can navigate the data landscape together!

Experience

3 yrs 9 mos
Total Experience
1 yr 3 mos
Average Tenure
1 yr 6 mos
Current Experience

Paytm

Junior Manager (Supply Chain Management)

Nov 2024 โ€“ Present ยท 1 yr 6 mos ยท Noida, Uttar Pradesh, India

Inventory OptimizationPython (Programming Language)Supply Chain Management

Safexpress private limited

Data Analyst

Jan 2024 โ€“ Oct 2024 ยท 9 mos ยท Gurugram, Haryana, India

PythonMicrosoft Power BIData Analysis

Cargo flash infotech

Data Analyst

Jul 2022 โ€“ Jan 2024 ยท 1 yr 6 mos ยท Gurugram, Haryana, India

  • โ–ช Conducted data analysis on historical AWB data, input matrices, and
  • output matrices. Executed exploratory data analysis, identifying abnormalities such as
  • missing values and outliers, Analyzed product contribution, booking pattern, and station
  • โ–ช Developed demand forecasting models in Python utilizing Time
  • Series and Machine Learning methodologies to forecast at OD level, OD Product level
  • and Flight level.
  • โ–ช Developed a Python-based optimization algorithm to
  • determine the optimal routes for air transportation, addressing both cargo and
  • passenger routing, taking into account various factors such as Flight capacity, flight
  • departure and arrival time, and cost.
  • โ–ช Conducted in-depth analysis of different environment reports. Leveraged SQL, Excel and Python for data extraction, manipulation, and visualization, presenting key insights through charts and graphs.
  • Proactively identified and resolved duplicate reports, addressing data discrepancies.
  • Collaborated closely with business teams to optimize reporting processes, ensuring
  • alignment with requirements and providing valuable data-driven insights for informed
  • decision-making."
Microsoft ExcelSQLData Analysis

The sparks foundation

Data Science And Business Analytics

May 2021 โ€“ Jun 2021 ยท 1 mo

  • Graduate Rotational Internship Program (GRIP)
  • During my time in the Graduate Rotational Internship Program (GRIP), I got to work on a variety of tasks to learn more about data analysis and machine learning.
  • ๐Ÿ” Learning Predictive Modeling:
  • I studied how to predict things based on data. For example, I looked at how two variables relate to each other.
  • ๐Ÿค– Understanding Data Clusters:
  • I learned how to group similar things together in data without being told what to look for. I then made charts to show these groups visually.
  • ๐ŸŒณ Building Decision Trees:
  • I made a kind of map to help make decisions based on data. I used a dataset about flowers to try this out.
  • ๐Ÿ“Š Exploring Data:
  • I used some Python programs to dig into data and find better insighs. This helped me understand patterns and trends in the data.
CommunicationPython (Programming Language)Data Science

Education

Delhi University

Master of Science - MSc

Jan 2018 โ€“ Jan 2020

Delhi University

BSc โ€” Mathematics Honours

Jan 2012 โ€“ Jan 2016

Board of Secondary Education Haryana

12th โ€” PCM

Jan 2011 โ€“ Jan 2012

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