Sakina Mirza

AI Researcher

Bengaluru, Karnataka, India9 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Over 7 years of experience in data science.
Expert in machine learning and advanced analytics.
Proven track record of optimizing business processes.

Stackforce AI infers this person is a Data Scientist with expertise in machine learning and analytics in the SaaS industry.

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Skills

Core Skills

Data ScienceMachine LearningData Analysis

Other Skills

Natural Language Processing (NLP)Deep LearningTensorFlowPython (Programming Language)Artificial Intelligence (AI)KeraspandasAdvanced AnalyticsC++SAS (Software)Internet of Things (IoT)CassandraSQLSAP HANAQlik Sense

About

As a passionate Data Scientist with over 7 years of experience, I’ve turned data into powerful stories that drive business success. My journey started at Mindtree, where I honed my skills in predictive modeling and streamlined data pipelines. At IBM, I took on more complex challenges, optimising forecasting accuracy and automating workflows to cut costs and boost efficiency. I thrive on transforming raw data into actionable insights and developing innovative solutions that solve real-world problems. My expertise spans Python, SQL, machine learning, and advanced analytics, with a knack for creating intuitive visualizations that make data accessible and impactful. What sets me apart? It’s my commitment to understanding the unique needs of each project and my drive to continuously learn and adapt. I’m always excited to leverage my skills in data science to help organizations make smarter, data-driven decisions and achieve their goals. Let’s connect and explore how I can contribute to your next data-driven success!

Experience

Dataflair

Data Science Trainer

Aug 2024 – Present · 1 yr 7 mos

Delivering structured, hands-on training in data science with a focus on data analysis, SQL, Excel, and visualization tools. Guiding learners through real-world projects, interview prep, and industry use cases to build job-ready skills.

Data ScienceData Analysis

Ibm

2 roles

Data Scientist

Promoted

May 2022 – Present · 3 yrs 10 mos

As a Data Scientist at IBM, I leveraged my analytical skills to drive impactful insights and innovations. I focused on developing advanced machine learning models and implementing data strategies that addressed complex business challenges and improved operational efficiency.
Key Contributions & Achievements
Advanced Analytics: Created and deployed sophisticated machine learning models to generate actionable insights and enhance decision-making.
Data Strategy Implementation: Designed and executed data strategies that optimized business processes and performance.
Cross-Functional Leadership: Worked with various teams to align data solutions with business objectives, ensuring effective implementation.
Visualization & Reporting: Developed detailed reports and interactive dashboards to present findings and support strategic initiatives.

Data ScienceMachine Learning

Associate Data Scientist

Mar 2019 – Jun 2022 · 3 yrs 3 mos

During my tenure as an Associate Data Scientist at IBM, I expanded my expertise in data science by tackling complex analytical projects and developing innovative data solutions. I played a key role in supporting the design and implementation of data models, contributing to significant business improvements.
Key Contributions & Achievements
Improved Forecast Accuracy: Developed and fine-tuned machine learning models that increased forecasting accuracy for supply chain management by 25%, significantly enhancing inventory optimization.
Automated Data Workflows: Implemented automation for data extraction and preprocessing, reducing manual effort and operational costs by 40%.
Customer Insights and Personalization: Led the development of a recommendation engine that personalized customer experiences, resulting in a 15% increase in user engagement.

Natural Language Processing (NLP)Deep LearningMachine Learning

Mindtree

Junior Data Scientist

Aug 2016 – Mar 2019 · 2 yrs 7 mos · Bengaluru, Karnataka, India

At Mindtree, I began my data science career, focusing on foundational data analysis and machine learning tasks. I supported senior data scientists in developing models and delivering insights, gaining hands-on experience in various data-driven projects.
Key Contributions & Achievements
Data Analysis & Preparation: Conducted data cleaning, transformation, and exploratory analysis to prepare datasets for modeling.
Machine Learning Support: Assisted in building and validating predictive models, contributing to project success.
Collaboration & Learning: Worked closely with senior team members, enhancing my skills and understanding of data science methodologies.
Reporting & Visualization: Created visualizations and reports to effectively communicate data insights to stakeholders.

Data AnalysisTensorFlow