Samiha Mirza
Data Analyst
Follow me:
4
Years of experience
Samiha
About Me
My expert
areas
Skills
Data Manipulation & Analysis (Python, SQL)
Data Visualization & Reporting
Statistical & Analytical Modeling
NLP: Topic Modeling & Sentiment Analysis
Data Cleaning, Preprocessing & Feature Engineering
Requirements Gathering & Cross-Functional Collaboration
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4
Years of Experience -
1
Dataset Scale Accessed (in Millions) -
20
Data Dashboards Built -
30
Image Dataset Coverage
Education
Experience
No Frills (Loblaw Companies Limited)
Bookkeeper & Supervisor | Feb 2023 – Present
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Managed daily bookkeeping tasks including cash reconciliation and maintaining accurate financial records.
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Supervised and supported a team of 14+ employees to maintain operational efficiency.
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Trained new staff by reinforcing front-end procedures and ensuring consistency during peak hours.
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Handled invoices, receipts, and cheque documentation with strong attention to detail.
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Supported day-to-day operations by coordinating workflows and resolving issues as they arose.
ARBA Technology Pvt. Ltd.
Associate Software Developer | Jan 2020 – Oct 2021
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Gathered and reviewed business and functional requirements to support Point-of-Sale (POS) application development.
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Developed, modified, and maintained application features using C#, .NET Framework, and SQL Server based on project specifications.
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Performed software testing, debugging, and issue resolution to ensure functionality, reliability, and data accuracy.
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Collaborated with cross-functional stakeholders (developers, managers, designers) to support delivery and enhancements.
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Assisted in monitoring, maintaining, and upgrading existing systems to improve performance and usability.
Certifications
Xamarin Developer Course: iOS and Android
2020
Java Training (Spoken Tutorial Project)
2017
IIT Bombay (National Mission on Education through ICT, Govt. of India)
NIIT Certificate in Object-Oriented Programming using C++
2016
NIIT
NIIT Certificate in C Programming
2016
NIIT
Projects
Automatic Attendance Management System using Face Recognition
Team Academic Project
Full Stack Developer
Skills Used
- Java, JSP, Servlets, HTML, CSS, Bootstrap, MySQL, Apache Tomcat, Database Design
Key Roles
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Developed a three-tier web application to manage student placement and recruitment activities.
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Managed 300+ student and recruiter records through structured database integration.
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Implemented modules for notice generation, filtering, and recruitment result analysis.
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Improved workflow efficiency by 42% through digital process automation.
Leaf Image Segmentation with Edge Detection & Greenness Assessment
Academic Project
Data Analyst / Image Processing Developer
Skills Used
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Python, NumPy, Digital Image Processing, Image Segmentation, Edge Detection, Data Analysis, Jupyter Notebook
Key Roles
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Applied Sobel, Canny, Prewitt, and LoG edge detection techniques across two leaf datasets.
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Processed and analyzed images of 32+ plant species for leaf structure and greenness evaluation.
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Implemented segmentation and RGB-based greenness analysis to assess plant health indicators.
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Developed automated image processing workflows to analyze 100+ leaf samples efficiently.
Topic Modeling and Sentiment Analysis of COVID-19 Tweets
Personal Project
Data Analyst
Skills Used
- Python, NLP, Topic Modeling, Sentiment Analysis, Pandas, NumPy, scikit-learn, Gensim, BERTopic, Top2Vec, Data Visualization
Key Roles
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Collected and analyzed 7,000 hydrated tweets using text preprocessing techniques including tokenization, lemmatization, and TF-IDF vectorization.
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Implemented LDA, Top2Vec, and BERTopic models to extract and analyze topic structures.
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Evaluated model performance using coherence and perplexity metrics across three topic modeling approaches.
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Interpreted sentiment trends across extracted topics using sentiment analysis techniques.
Analysis of Disease Spread with epiDEM in NetLogo
Personal Project
Data Analyst
Skills Used
- NetLogo, PyNetLogo, Python, Jupyter Notebook, Agent-Based Modeling, Statistical Analysis, Simulation Modeling, Data Visualization
Key Roles
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Simulated SIR epidemiological model using NetLogo and PyNetLogo, analyzing 500+ infection spread patterns.
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Conducted 10 simulation experiments by varying infection probability and recovery duration to model outbreak behavior.
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Evaluated epidemic spread trends using simulation outputs and statistical interpretation.
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Visualized infection and recovery patterns using time-series data analysis techniques.
