Manvi Vohra

Software Engineer

Delhi, India4 yrs 10 mos experience

Highly Stable

Key Highlights

Expert in data visualization and analytics.
Proven track record in automating reporting processes.
Strong background in machine learning applications.

Stackforce AI infers this person is a Data Analytics and Business Intelligence professional with a focus on SaaS solutions.

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Skills

Core Skills

Data AnalysisData VisualizationMachine Learning

Other Skills

SQLAmazon RedshiftTableauPythonSpark-ScalaSQL Stored ProceduresTeamworkLinear RegressionRandom Forest RegressorRandom Forest RegressionMatplotlibNew Market ExpansionCreativity and InnovationAgile MethodologiesTechnological Innovation

About

SHL leverages advanced business intelligence solutions to transform complex datasets into actionable insights. As a Business Intelligence Engineer, contributions include optimizing data visualization workflows, automating reporting processes, and collaborating on scalable data pipelines using Amazon Redshift. With a Bachelor of Computer Application in Computer Science, a strong foundation in data visualization and teamwork drives a commitment to enabling data-driven decisions. Motivated to bridge the gap between technical expertise and strategic business goals, focusing on creating impactful, scalable solutions.

Experience

4 yrs 10 mos

Total Experience

2 yrs 4 mos

Average Tenure

2 mos

Current Experience

Google

Engineering Analyst

Mar 2026 – Present · 2 mos · Hyderabad, Telangana, India · On-site

Nab

Data Analyst

Nov 2025 – Feb 2026 · 3 mos

Shl

3 roles

Business Intelligence Engineer

Promoted

Jul 2023 – Nov 2025 · 2 yrs 4 mos

Data VisualizationData AnalysisSQLAmazon RedshiftTableauPython+2

Data Analyst

Jun 2021 – Nov 2025 · 4 yrs 5 mos

Built and optimized 15+ dimensional data models with SCD logic, ensuring reliable and consistent data for analytics and reporting used by business leaders in strategic decision-making.
Automated historical and incremental data loads using SQL stored procedures, improving data freshness and accuracy for weekly executive reviews and ad-hoc analysis.
Improved Tableau dashboard performance by 60–70% through SQL tuning and aggregation strategies, enabling stakeholders to analyze insights in real time and make faster operational decisions.
Delivered client-facing dashboards to track usage, dropouts, and completions; these dashboards replaced manual Excel extracts, reducing ad-hoc requests by 60% and improving client satisfaction.
Developed the Order Health dashboard with automated SQL models, now used by 80%+ of account managers to proactively monitor order caps, preventing revenue leakage and improving client satisfaction.
Built the SHL Genie chatbot (Python + SQL) that converts natural language queries into automated insights, cutting manual analysis time by 40% and empowering non-technical teams to self-serve data.
Implemented a Spark-Scala ingestion pipeline with SQL-based validation for daily incremental loads from S3 to Redshift, ensuring clean, trusted, and scalable data for downstream reporting and analysis.

TeamworkData Visualization

Associate Software Engineer

Jun 2021 – Jul 2023 · 2 yrs 1 mo

Oman coding academy

Teaching Intern

Jun 2021 – Jul 2021 · 1 mo

•Instructed students aged 6 to 15, teaching foundational coding skills and programming principles.

Machine LearningLinear RegressionRandom Forest Regressor

Tech explica

2 roles

Internship

Promoted

Jun 2020 – Oct 2020 · 4 mos

Worked on machine learning algorithm( linear regression and random forest regressor)

Machine LearningLinear RegressionRandom Forest Regression

Intern

May 2020 – Jul 2020 · 2 mos

Board Game Predictions:
Objective: Forecast reviews for 80,000+ board games using player count and playtime data.
Models: Employed linear regression and random forest regression.
Results: Random forest regression outperformed linear regression with a 0.445 mean squared error improvement.
Impact: Improved prediction accuracy enhances decision-making and user experience in the board game domain.