Azadeh Almasi – Data Scientist

Azi Almasi

Data Scientist

Machine Learning Engineer

Data Analyst

Business Analyst

Data Product Manager

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About me

Data Scientist with three years of experience at SYNTECH, where I have delivered end-to-end data science projects across diverse industries, including health, fintech, e-commerce, and gaming. My expertise in product management enables me to translate complex data insights into actionable strategies, driving measurable business impact. Proficient in machine learning, deep learning, data wrangling, analysis, and visualisation, I bring a proven ability to bridge the gap between business objectives and data-driven solutions. Adept at communicating technical findings to both technical and non-technical audiences, I have consistently driven meaningful improvements to business outcomes in the organisations I have contributed to.

Location: London
Address: West Drayton
Mobile: 07880864882
Email: Azadealmasi@gmail.com

My Expertise

Data Science

I am dedicated to uncovering insights from complex data and thrive on solving challenging problems with innovative solutions.

Data Analysis

With a strong passion for data analysis, I excel at transforming raw data into actionable insights to drive informed decision-making.

ML & DL

I am passionate about using machine learning and deep learning to create intelligent systems that solve real-world problems and advance technology.

NLP

I am enthusiastic about natural language processing, harnessing the power of language data to build systems that understand and interact with human language effectively.

Resume

Experinece

SEP 2022 – PRESENT

Data Scientist

SYNTECH

At SYNTECH, I designed and implemented data science projects, improving decision-making processes by 35%. I used data visualization tools like Tableau and Power BI to communicate findings and integrated NLP techniques for sentiment analysis. I conducted statistical analysis to drive business strategies, led the data product strategy, and implemented A/B testing to assess feature effectiveness.

AUG 2021 – SEP 2022

Data Product Manager

SYNTECH

As a Data Product Manager at SYNTECH, I was responsible for defining and executing data strategies that aligned with business objectives, driving a 25% increase in revenue. I led the design and management of data products, including real-time analytics dashboards built using Tableau, which streamlined reporting and reduced manual efforts by 50%. I conducted in-depth statistical analyses of customer behaviour, providing actionable insights that contributed to a 10% increase in sales. Through close collaboration with cross-functional teams, I ensured that data products were seamlessly integrated with broader business strategies, ultimately driving measurable outcomes.

دقت، تضمین ارائه بینش قابل اعتماد برای تصمیم گیری.

MAR 2019 – AUG 2021

Product Manager

SRC Accelerator

As a Product Manager at SYNTECH, I was responsible for defining and executing product strategies that aligned with business objectives and drove measurable outcomes. I led the end-to-end product lifecycle, from ideation to delivery, ensuring that data products met user needs and business goals. This involved collaborating with cross-functional teams, including engineering, marketing, and operations, to deliver high-quality solutions. I prioritised features based on business impact, user feedback, and market trends, and worked closely with stakeholders to define product roadmaps and timelines. Additionally, I was responsible for tracking product performance, gathering insights through data analysis, and using this information to iterate and improve products, ensuring continuous value delivery.

SEP 2017 – OCT 2018

Associate Product Manager

Ordibehesht Studio

At Ordibehesht Studio, I analysed the gaming market, developed concepts based on market demand, and guided product development using customer feedback. I conducted thorough market and competitor analyses to refine product features. I identified and tested new business opportunities, monitored product performance, and successfully curated the "Kalematic" game, which generated 4 million rials in daily revenue.

Education

2022 - 2023

Data Science & Analytics

Brunel University London

Gained advanced skills in data science and analytics, focusing on practical applications in various industries.

Link

SEP 2013 – SEP 2017

Biomedical Engineering

Qazvin Azad University

Developed a strong foundation in engineering principles and applied them to biomedical contexts.

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Skills

Data Analysis & Visualisation

Data Cleaning & Manipulation
EDA & Feature Engineering
Descriptive & Inferential Statistics
Regression Analysis (linear, logistic, multiple)

Tech Stack

Programming Languages (Python, R, Java, SQL)
Libraries & Frameworks(Pandas, Numpy, TensorFlow, PyTorch, Keras, Scikit-Learn)
Big Data(MapReduce, YARN, Pig, Hive, and Spark)
Cloud Platforms(AWS, Azure)

Domain Knowledge

Fintech

95%
Health

95%
E-commerce

90%
Game

90%

ML & DL

Machine Learning(Logistic Regression, Decision Trees, Random Forest, XGBoost, LightGBM, SVM, K-Means, PCA, KNN)
Deep Learning( CNN, RNN, LSTM, BERT, Transformers)
Model Evaluation and Validation(Cross-Validation, Grid Search and Randomized Search)
Evaluation Metrics( Accuracy, Precision, Recall, F1 Score, ROC AUC, RMSE, MAE)
Natural Language Processing (FinBERT, VADER)