Malavika Balakrishnan
Calicut
Summary
Self learned data Analyst with 1.1 years of experience in software support and analysis, eager to leverage my analytical and technical skills to derive actionable insights and support decision-making. Experienced in data visualization, querying databases, and collaborating with cross-functional teams to meet business needs.
Overview
1
1
year of professional experience
Work History
TECHNICAL SUPPORT ENGINEER
MOZILOR TECHNOLOGIES
Hybrid
08.2023 - Current
- Diagnosed and resolved software issues, enhancing the plugin user experience for a global customer base of 1.5+ million across 100+ countries.
- Conducted comprehensive research on 15+ plugin features, security updates, and industry trends, ensuring up-to-date and prompt support for both B2B and B2C clients.
- Effectively communicated technical information to diverse audiences, including both technical and non-technical users, contributing to a 45% increase in positive customer feedback.
- Contributed to shaping product improvements by identifying emerging trends and reporting user feedback, leading to a 20% reduction in recurring issues and improved product offerings.
- Worked on 28+ plugins and add-ons within WebToffee's product suite, including GDPR compliance solutions, resulting in a 55% increase in pre-sale conversion rates across both B2B and B2C.
Education
B.TECH - Computer Science
APJ Abdul Kalam Technological University
India06.2023
Skills
- Tech: Python, SQL, Data Visualization (Tableau)
- Problem-solving Analytical thinking Attention to detail Debugging
- Teamwork and Collaboration
- Customer Success Management
Projects
CARDIAC-HEART FAILURE RATE PREDICTION SYSTEM, ML,DL,NLP
- Compared and evaluated accuracy of 4 machine learning algorithms and 1 deep learning algorithm.
- Trained a predictive model that achieved an accuracy rate of 87%using support vector machine(SVM) as well as 85% using convolution neural network (CNN).
- HTML | CSS | JAVASCRIPT | XML front-end and PYTHON(FLASK) as back-end.
- Algorithms: LSTM, Decision Tree, NB, CNN, logistic regression, SVM.
- Employed feature selection techniques to extract most impactful variables from patient data, encompassing age, gender, bp etc.
- Frameworks- Tensorflow| Keras| Sci-kit learn
Languages
- ENGLISH
- MALAYALAM
- HINDI (B.A Equivalent Qualification)
Timeline
TECHNICAL SUPPORT ENGINEER
MOZILOR TECHNOLOGIES
08.2023 - Current
B.TECH - Computer Science
APJ Abdul Kalam Technological University
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