Ananya Malhotra
@ananyamalhotra
Analytical data enthusiast with expertise in SQL and Python.
What I'm looking for
I am an analytical and curious data enthusiast with a strong foundation in open-source technologies, statistical analysis, and visualization. My experience includes building data pipelines and dashboards using SQL, Python, and various open-source libraries. I am passionate about solving real-world problems through clean, interpretable, and reproducible data solutions.
Currently, I work as an Associate Engineer at L&T Technology Services, where I have automated data migration processes and developed VBA macros for enhanced decision-making. My previous role as an Analyst at Siemens allowed me to contribute to open documentation practices and implement workflow automation, significantly reducing manual intervention. I thrive in environments that challenge my problem-solving skills and allow me to leverage my technical expertise.
Experience
Work history, roles, and key accomplishments
Associate Engineer
L&T Technology Services
Sep 2024 - Present (10 months)
Automated data migration processes using shell scripting and SQL-based workflows to increase efficiency. Developed and optimized VBA macros to generate graphical representations and dashboards for enhanced clarity and decision-making.
Analyst
Siemens
Jul 2023 - Aug 2024 (1 year 1 month)
Contributed to open documentation practices to maintain transparency in code workflows and dashboard environment. Crafted and executed SQL and Python scripts to automate data cleanup processes and reduce manual intervention.
Analyst Intern
FiftyFive.ltd
Built visualizations using Python libraries and generated reports in open formats (CSV). Supported business teams with ad hoc data analysis using Jupyter and Git version control.
Education
Degrees, certifications, and relevant coursework
Chitkara University
Bachelor of Engineering (BE), Computer Science
Grade: 9.77/10
Activities and societies: Volunteer: Data projects for NGOs, Silver Medal Math and Statistics Olympiad
Studied Computer Science with a focus on data analysis and open-source technologies. Gained strong foundational knowledge in statistical analysis, visualization, and building data pipelines.
Availability
Location
Authorized to work in
Job categories
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